sayakpaul/TF-2.0-Hacks

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sayakpaul/TF-2.0-Hacks

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Contains my explorations of TensorFlow 2.x

This respository contains my exploration of the newly released TensorFlow 2.0. TensorFlow team introduced a lot of new and useful changes in this release; automatic mixed precision training, flexible custom training, distributed GPU training, enhanced ops for the high-level Keras API are some of my personal favorites. You can see all of the new changes here.

Apart from the official TensorFlow 2.0 guides and the tutorials, I highly recommend the following resources if you want to learn more about TensorFlow 2.0 (updated on an ad-hoc basis):

tf.keras for Researchers: Crash Course by Francois Chollet
TensorFlow 2.0 + Keras Crash Course by Francois Chollet
Introduction to Keras for Researchers by Francois Chollet
Introduction to Keras for Engineers by Francois Chollet
Inside TensorFlow: tf.Keras (part 1) by Francois Chollet
Inside TensorFlow: tf.Keras (part 2) by Francois Chollet
keras.io exmples
keras.io guides
Deep Learning with Python (second edition) by Francois Chollet
Introduction to TensorFlow in Python by DataCamp (Instructor: Isaiah Hull)
Ten Important Updates from TensorFlow 2.0 (article by me)
Hands-On Machine Learning with Scikit-Learn, Keras and TensorFlow (best-selling book by Aurélien Géron)
Deep Learning for Computer Vision with Python by Adrian Rosebrock
Intro to TensorFlow for Deep Learning by Udacity (Instructors: Magnus Hyttsten, Juan Delgado, Paige Bailey)
Intro to Machine Learning with TensorFlow Nanodegree
Practical Machine Learning with Tensorflow by NPTEL (Instructor: Ashish Tendulkar)
Hands-On Neural Networks with TensorFlow 2.0 (book by Paolo Galeone)
DeepLearning.AI TensorFlow Developer Professional Certificate (previously known as TensorFlow in Practice)
TensorFlow: Data and Deployment Specialization by deeplearning.ai
TensorFlow 2 for Deep Learning Specialization by Imperial College of London
Keras vs. tf.keras: What’s the difference in TensorFlow 2.0? by PyImageSearch
Introduction to TensorFlow Lite
Intro to Machine Learning with TensorFlow Nanodegree
freeCodeCamp's Python Machine Learning course with TensorFlow 2.0
TensorFlow: Advanced Techniques Specialization by deeplearning.ai

probing-vits

Probing the representations of Vision Transformers.

Jupyter Notebook

diffusers-torchao

End-to-end recipes for optimizing diffusion models with torchao and diffusers (inference and FP8 training).

ml-deployment-k8s-fastapi

This project shows how to serve an ONNX-optimized image classification model as a web service with FastAPI, Docker, and Kubernetes.

Jupyter Notebook

Adventures-in-TensorFlow-Lite

This repository contains notebooks that show the usage of TensorFlow Lite for quantizing deep neural networks.

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maxim-tf

Implementation of MAXIM in TensorFlow.

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Supervised-Contrastive-Learning-in-TensorFlow-2

Implements the ideas presented in https://arxiv.org/pdf/2004.11362v1.pdf by Khosla et al.

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robustness-vit

Contains code for the paper "Vision Transformers are Robust Learners" (AAAI 2022).

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MIRNet-TFLite-TRT

TensorFlow Lite models for MIRNet for low-light image enhancement.

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ConvNeXt-TF

Includes PyTorch -> Keras model porting code for ConvNeXt family of models with fine-tuning and inference notebooks.

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SimSiam-TF

Minimal implementation of SimSiam (https://arxiv.org/abs/2011.10566) in TensorFlow 2.

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dreambooth-keras

Implementation of DreamBooth in KerasCV and TensorFlow.

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SimCLR-in-TensorFlow-2

(Minimally) implements SimCLR (https://arxiv.org/abs/2002.05709) in TensorFlow 2.

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single-video-curation-svd

Educational repository for applying the main video data curation techniques presented in the Stable Video Diffusion paper.

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Adaptive-Gradient-Clipping

Minimal implementation of adaptive gradient clipping (https://arxiv.org/abs/2102.06171) in TensorFlow 2.

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FunMatch-Distillation

TF2 implementation of knowledge distillation using the "function matching" hypothesis from https://arxiv.org/abs/2106.05237.

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Grocery-Product-Detection

This repository builds a product detection model to recognize products from grocery shelf images.

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stable-diffusion-keras-ft

Fine-tuning Stable Diffusion using Keras.

robustness-foundation-models

This repository holds code and other relevant files for the NeurIPS 2022 tutorial: Foundational Robustness of Foundation Models.

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Sharpness-Aware-Minimization-TensorFlow

Implements sharpness-aware minimization (https://arxiv.org/abs/2010.01412) in TensorFlow 2.

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MLP-Mixer-CIFAR10

Implements MLP-Mixer (https://arxiv.org/abs/2105.01601) with the CIFAR-10 dataset.

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ML-Bootcamp-Launchpad

Contains notebooks prepared for ML Bootcamp organized by Google Developers Launchpad.

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Learnable-Image-Resizing

TF 2 implementation Learning to Resize Images for Computer Vision Tasks (https://arxiv.org/abs/2103.09950v1).

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Knowledge-Distillation-in-Keras

Demonstrates knowledge distillation for image-based models in Keras.

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PAWS-TF

Minimal implementation of PAWS (https://arxiv.org/abs/2104.13963) in TensorFlow.

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swin-transformers-tf

Implementation of Swin Transformers in TensorFlow along with converted pre-trained models, code for off-the-shelf classification and fine-tuning.

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Generalized-ODIN-TF

TensorFlow 2 implementation of the paper Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data (https://arxiv.org/abs/2002.11297).

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hf-codegen

A repository of Python scripts to scrape code contents of the public repositories of `huggingface`.

A-B-testing-with-Machine-Learning

Implemented an A/B Testing solution with the help of machine learning

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deit-tf

Includes PyTorch -> Keras model porting code for DeiT models with fine-tuning and inference notebooks.

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Barlow-Twins-TF

TensorFlow implementation of Barlow Twins (https://arxiv.org/abs/2103.03230).

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Vehicle-Number-Plate-Detection

This project demonstrates the use of TensorFlow Object Detection API to automatically number plates (Indian) from vehicles

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Benchmarking-and-MLI-experiments-on-the-Adult-dataset

Contains benchmarking and interpretability experiments on the Adult dataset using several libraries

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Dual-Deployments-on-Vertex-AI

Project demonstrating dual model deployment scenarios using Vertex AI (GCP).

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ViT-jax2tf

This repository hosts code for converting the original Vision Transformer models (JAX) to TensorFlow.

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Breast-Cancer-Detection-using-Deep-Learning

Experiments to show the usage of deep learning to detect breast cancer from breast histopathology images

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Spatial-Transformer-Networks-with-Keras

This repository provides a Colab Notebook that shows how to use Spatial Transformer Networks inside CNNs in Keras.

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deploy-hf-tf-vision-models

This repository shows various ways of deploying a vision model (TensorFlow) from 🤗 Transformers.

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E2E-Object-Detection-in-TFLite

This repository shows how to train a custom detection model with the TFOD API, optimize it with TFLite, and perform inference with the optimized model.

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A-Barebones-Image-Retrieval-System

This project presents a simple framework to retrieve images similar to a query image.

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Training-BatchNorm-and-Only-BatchNorm

Experiments with the ideas presented in https://arxiv.org/abs/2003.00152 by Frankle et al.

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ml-bootcamp-india-2022

Contains materials from the facilitation sessions conducted for the ML Bootcamp India (2022) organized by Google DevRel team.

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BERT-for-Mobile

Compares the DistilBERT and MobileBERT architectures for mobile deployments.

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Blood-Cell-Detection-using-TFOD-API

This project demonstrates the use of TensorFlow Object Detection API (along with GCP ML Engine) to automatically detect Red Blood Cells (RBCs), White Blood Cells (WBCs), and Platelets in each image taken via microscopic image readings

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CI-CD-for-Model-Training

This repository holds files and scripts for incorporating simple CI/CD practices for model training in ML.

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big_vision_experiments

Contains my experiments with the `big_vision` repo to train ViTs on ImageNet-1k.

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Denoised-Smoothing-TF

Minimal implementation of Denoised Smoothing (https://arxiv.org/abs/2003.01908) in TensorFlow.

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portfolio

Site built from fastpages: https://fastpages.fast.ai/. Deployed here 👉

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Global-Wheat-Detection

Showcases the use of deep learning to detect wheat heads from crops. The project is based on: https://www.kaggle.com/c/global-wheat-detection.

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Distributed-Training-in-TensorFlow-2-with-AI-Platform

Contains code to demonstrate distributed training in TensorFlow 2 with AI Platform and custom Docker contains.

instructpix2pix-sdxl

Training InstructPi2Pix with SDXL.

count-tokens-hf-datasets

This project shows how to derive the total number of training tokens from a large text dataset from 🤗 datasets with Apache Beam and Dataflow.

FloydHub-Anomaly-Detection-Blog

Contains the thorough experiments made for a FloydHub article on Anomaly Detection

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Phishing-Websites-Detection

Experiments to detect phishing websites using neural networks

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Malaria-Detection-with-Deep-Learning

Deep learning based solution to automatically analyze medical images for malaria testing

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BiT-jax2tf

This repository hosts the code to port NumPy model weights of BiT-ResNets to TensorFlow SavedModel format.

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Parkinson-s-Disease-Classifier

Deep learning experiments to design a model to predict Parkinson's diseases with the images of Spiral/Wave test

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instruct-pix2pix-dataset

This repository provides utilities to a minimal dataset for InstructPix2Pix like training for Diffusion models.

MLPMixer-jax2tf

This repository hosts code for converting the original MLP Mixer models (JAX) to TensorFlow.

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Generating-categories-from-arXiv-paper-titles

This project takes the arXiv dataset and builds an automatic tag classifier from the arXiv article/paper titles

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Handwriting-Recognizer-in-Keras

This project shows how to build a simple handwriting recognizer in Keras with the IAM dataset.

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Mixed-Precision-Training-in-tf.keras-2.0

This repository contains notebooks showing how to perform mixed precision training in tf.keras 2.0

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NALU

Neural Arithmetic Logic Units by Trask et al.

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Adversarial-Examples-in-Deep-Learning

Shows how to create basic image adversaries, and train adversarially robust image classifiers (to some extent).

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FloydHub-Q-Learning-Blog

Contains the Jupyter Notebook made for a FloydHub article on Q-Learning

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EvoNorms-in-TensorFlow-2

Implements EvoNorms B0 and S0 as proposed in Evolving Normalization-Activation Layers.

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Revisiting-Pooling-in-CNNs

Implements RNNPool and SoftPool for CNNs.

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parameter-ensemble-differential-evolution

Shows how to do parameter ensembling using differential evolution.

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Action-Recognition-in-TensorFlow

Contains additional materials for two keras.io blog posts.

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AdaMatch-TF

Includes additional materials for the following keras.io blog post.

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keras-convnext-conversion

ConvNeXt conversion code for PT to TF along with evaluation code on ImageNet-1k val.

Emotion-Detection-using-Deep-Learning

This project demonstrates the use of Deep Learning to detect emotion (sad, angry, happy etc) from the images of faces.

Jupyter Notebook

Transfer-Learning-with-CIFAR10

Leveraging Transfer Learning on the classic CIFAR-10 dataset by using the weights from a pre-trained VGG-16 model.

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TalksGiven

Contains the deck of my talks given at different developer meet-ups and conferences.

cait-tf

Implementation of CaiT models in TensorFlow and ImageNet-1k checkpoints. Includes code for inference and fine-tuning.

Jupyter Notebook

GCP-ML-API-Demos

Contains Colab Notebooks show cool use-cases of different GCP ML APIs.

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DockerML

Contains my explorations of using Docker to automate ML workflows.

Multimodal-Entailment-Baseline

This repository shows how to implement a basic model for multimodal entailment.

Jupyter Notebook

vision-transformers-tf

A non-exhaustive collection of vision transformer models implemented in TensorFlow.

xla-benchmark-sd

Provides code to serialize the different models involved in Stable Diffusion as SavedModels and to compile them with XLA.

tf.keras-Distributed-Training

Shows how to use MirroredStrategy to distribute training workloads when using the regular fit and compile paradigm in tf.keras.

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Analytics-Vidhya-Game-of-Deep-Learning-Hackathon

Contains my experiments for the Game of Deep Learning Hackathon conducted by Analytics Vidhya

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model-soups-text-classification

Shows an implementation of model soups (https://arxiv.org/abs/2203.05482) for text classification models.

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keras-xla-benchmarks

Presents comprehensive benchmarks of XLA-compatible pre-trained models in Keras.

Manning-Phishing-Websites-Detection

Starter repository for Manning LP: Use Machine Learning to Detect Phishing Websites

Data-Science-Tweets-Analysis

Byte sized analysis of Data Science Tweets

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Data-Pipelines-with-TensorFlow-Data-Services-Exercises

This repository contains the exercise notebooks for the Data Pipelines with TensorFlow Data Services (Coursera) course.

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Applied-Data-Science-w-Python-Specialization

Contains my assignments, guiding notebooks (provided as the course materials) and the datasets.

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Reproducibility-in-tf.keras-with-wandb

Contains code for my model reproducibility experiments. Report attached.

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GDE-Collaboration

Contains the modelling and deployment scripts done for a collaboration project (Dataset: FashionMNIST)

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simple-image-recaptioning

Recaption large (Web)Datasets with vllm and save the artifacts.

Consistency-Training-with-Supervision

Contains experimentation notebooks for my Keras Example "Consistency Training with Supervision".

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mlplanner

Contains data, notebooks and other files of FloydHub's mini-series on machine learning project structuring, model debugging, various tips and tricks and more

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tSNE-on-NSL_KDD

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Generating-Word-Cloud-from-DataCamp-Project-Descriptions

Generating a word cloud from the descriptions of the live [DataCamp Projects](https://datacamp.com/projects/).

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Analysis-of-college-database-of-2017-passouts

Contains my analysis of a database containing information about the students of an engineering college.

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Age-Detection-of-Indian-Actors

The repository contains my experiments for a Hackathon problem by Analytics Vidhya

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depth_estimation_trainer

Scripts to fine-tune a depth estimation model.

Restaurant

It contains everything that should be there in a standard restaurant website such as Location finder, Chaining, Bill Estimator etc. Built using JSP, jQuery, JavaScript, HTML-CSS and for databases Oracle 10g XE was used.

Reporting-in-SQL-DataCamp-Course-Exercises

Contains my solutions to the exercises of the course "Reporting in SQL"

DataCamp-blogs

Jupyter notebooks of my DataCamp blogs

Jupyter Notebook