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sayakpaul/TF-2.0-Hacks

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Rank 111,995 (Top 3 %)
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Jupyter Notebook
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Apache License 2.0
Created over 5 years ago
Updated over 1 year ago

sayakpaul/TF-2.0-Hacks

sayakpaul

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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.

Jupyter Notebook

maxim-tf

Implementation of MAXIM in TensorFlow.

Jupyter Notebook

Supervised-Contrastive-Learning-in-TensorFlow-2

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

Jupyter Notebook

robustness-vit

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

Jupyter Notebook

MIRNet-TFLite-TRT

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

Jupyter Notebook

ConvNeXt-TF

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

Jupyter Notebook

SimSiam-TF

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

Jupyter Notebook

dreambooth-keras

Implementation of DreamBooth in KerasCV and TensorFlow.

Jupyter Notebook

SimCLR-in-TensorFlow-2

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

Jupyter Notebook

single-video-curation-svd

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

Jupyter Notebook

Adaptive-Gradient-Clipping

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

Jupyter Notebook

FunMatch-Distillation

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

Jupyter Notebook

Grocery-Product-Detection

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

Jupyter Notebook

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.

Jupyter Notebook

Sharpness-Aware-Minimization-TensorFlow

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

Jupyter Notebook

MLP-Mixer-CIFAR10

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

Jupyter Notebook

ML-Bootcamp-Launchpad

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

Jupyter Notebook

Learnable-Image-Resizing

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

Jupyter Notebook

Knowledge-Distillation-in-Keras

Demonstrates knowledge distillation for image-based models in Keras.

Jupyter Notebook

PAWS-TF

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

Jupyter Notebook

swin-transformers-tf

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

Jupyter Notebook

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).

Jupyter Notebook

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

Jupyter Notebook

deit-tf

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

Jupyter Notebook

Barlow-Twins-TF

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

Jupyter Notebook

Vehicle-Number-Plate-Detection

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

Jupyter Notebook

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

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

Jupyter Notebook

Dual-Deployments-on-Vertex-AI

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

Jupyter Notebook

ViT-jax2tf

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

Jupyter Notebook

Breast-Cancer-Detection-using-Deep-Learning

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

Jupyter Notebook

Spatial-Transformer-Networks-with-Keras

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

Jupyter Notebook

deploy-hf-tf-vision-models

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

Jupyter Notebook

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.

Jupyter Notebook

A-Barebones-Image-Retrieval-System

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

Jupyter Notebook

Training-BatchNorm-and-Only-BatchNorm

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

Jupyter Notebook

ml-bootcamp-india-2022

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

Jupyter Notebook

BERT-for-Mobile

Compares the DistilBERT and MobileBERT architectures for mobile deployments.

Jupyter Notebook

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

Jupyter Notebook

CI-CD-for-Model-Training

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

Jupyter Notebook

big_vision_experiments

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

Jupyter Notebook

Denoised-Smoothing-TF

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

Jupyter Notebook

portfolio

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

Jupyter Notebook

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.

Jupyter Notebook

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

Jupyter Notebook

Phishing-Websites-Detection

Experiments to detect phishing websites using neural networks

Jupyter Notebook

Malaria-Detection-with-Deep-Learning

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

Jupyter Notebook

BiT-jax2tf

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

Jupyter Notebook

Parkinson-s-Disease-Classifier

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

Jupyter Notebook

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.

Jupyter Notebook

Generating-categories-from-arXiv-paper-titles

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

Jupyter Notebook

Handwriting-Recognizer-in-Keras

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

Jupyter Notebook

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

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

Jupyter Notebook

NALU

Neural Arithmetic Logic Units by Trask et al.

Jupyter Notebook

Adversarial-Examples-in-Deep-Learning

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

Jupyter Notebook

FloydHub-Q-Learning-Blog

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

Jupyter Notebook

EvoNorms-in-TensorFlow-2

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

Jupyter Notebook

Revisiting-Pooling-in-CNNs

Implements RNNPool and SoftPool for CNNs.

Jupyter Notebook

parameter-ensemble-differential-evolution

Shows how to do parameter ensembling using differential evolution.

Jupyter Notebook

Action-Recognition-in-TensorFlow

Contains additional materials for two keras.io blog posts.

Jupyter Notebook

AdaMatch-TF

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

Jupyter Notebook

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.

Jupyter Notebook

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.

Jupyter Notebook

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.

Jupyter Notebook

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

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

Jupyter Notebook

model-soups-text-classification

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

Jupyter Notebook

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

Jupyter Notebook

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

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

Jupyter Notebook

Applied-Data-Science-w-Python-Specialization

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

Jupyter Notebook

Reproducibility-in-tf.keras-with-wandb

Contains code for my model reproducibility experiments. Report attached.

Jupyter Notebook

GDE-Collaboration

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

Jupyter Notebook

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".

Jupyter Notebook

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

Jupyter Notebook

tSNE-on-NSL_KDD

Jupyter Notebook

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

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

Jupyter Notebook

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

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

Jupyter Notebook

Age-Detection-of-Indian-Actors

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

Jupyter Notebook

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