ayulockin/deepgenerativemodeling

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ayulockin/deepgenerativemodeling

ayulockin

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Towards Generative Modeling from (variational) Autoencoder to DCGAN

neurips-llm-efficiency-challenge

Starter pack for NeurIPS LLM Efficiency Challenge 2023.

SwAV-TF

TensorFlow implementation of "Unsupervised Learning of Visual Features by Contrasting Cluster Assignments".

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LossLandscape

Explores the ideas presented in Deep Ensembles: A Loss Landscape Perspective (https://arxiv.org/abs/1912.02757) by Stanislav Fort, Huiyi Hu, and Balaji Lakshminarayanan.

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deepimageinpainting

Deep Image Inpainting using UNET like Vanilla Autoencoder and Partial Convolution based Autoencoder.

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DataAugmentationTF

Implementation of modern data augmentation techniques in TensorFlow 2.x to be used in your training pipeline.

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wandb2kaggle

Automatically upload the model saved as W&B Artifact to Kaggle Dataset.

debugNNwithWandB

Concepts Explored in/with Pytorch

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interpretabilitycnn

Custom Keras Callbacks for Feature Visualization, Class Activation Map, Grad-CAM

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kagglerecipes

Helpful data preprocessing, training, and visualisation code and scripts for a range of Kaggle competitions, supported by Weights & Biases.

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llm-eval-sweep

A simple repository showcasing a few LLM Evaluation strategies and leverages W&B Sweeps to optimize the LLM system.

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minimal-mlops

This repository is for the GDG Cloud Kolkata workshop on 27th August, 2022. Learn about minimal MLOps required for any ML practitioner. It uses Weights and Biases.

grid-solver-with-obstacle

Adventures_in_Image_Processing_with_TF

Repo for our talk at GDG Kolkata TensorFlow All Round event on 31st August.

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T5-RLHF-TF

Implementation of Reinforcement Learning from Human Feedback for Summarization Task in TensorFlow

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Awesome_DL_Links

Collection of awesome DL/Math resources to feel enlightened!

Explore-NFNet

This repository contains notebooks exploring various aspects of High-Performance Large-Scale Image RecognitionWithout Normalization (https://arxiv.org/abs/2102.06171).)

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myDLexperiments

This will contain my basic Deep Learning experiments. It's just a pool.

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codingTrain-Data-API

Following this series : https://www.youtube.com/watch?v=tc8DU14qX6I

optimized_surveillance

For ECE Deptartment (Work in Progress)

GOwithRL

This repo will contain my implementation of AlphaGO and related experiments.

kaggle-pogchamp

Classification pipeline for Kaggle Pogchamp Series competition built using TF/Keras and W&B.

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block_detection

This repository contains arduino code for our bot which was capable of detecting blocks(cubes) using IR sensor and distinguish between two block sizes.

talks

Contain the talks given

TF-MSN

Implementation of Masked Siamese Networks for Label-Efficient Learning (https://arxiv.org/abs/2204.07141) in TensorFlow.

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wandb_replit

A simple Replit to train a classifier using PyTorch on a toy dataset with baked in goodness of Weights and Biases.

DS_Lab-EC594B-

Solution to all the potential questions for DS practical lab exam

kaggle-asl

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pandas_matplotlib_foundation

Contains notebook used during my Pandas session.

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Nature-of-code-Genetic-Algorithm-in-python

Reach a target phrase using genetic algorithm

HF-RL-Course

My exploration and exploitation of HF-RL-Course

botbomb

llm-science-exam

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Thought-Experiments

This repository will contain my thought experiments conducted in the field of Deep Learning.

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av-segmentation

Semantic and drivable segmentation for autonomous driving using Keras and baked with Weights and Biases.

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ASL_Classifier

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myopenCVExperiments

Understanding with depth

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happywhale_kaggle

Repository of my experiments for the Kaggle competition: Happywhale - Whale and Dolphin Identification

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