AakashKumarNain

annotated_research_papers

This repo contains annotated research papers that I found really good and useful

TF_JAX_tutorials

All about the fundamental blocks of TF and JAX!

diffusion_models

All about the fundamentals and working of Diffusion Models

skin_cancer_detection

Detecting cancers on mobile phones

AugMix_TF2

TF2.0 port for Augmix paper

CaptchaCracker

mistral_jax

This is a port of Mistral-7B model in JAX

DeeplearningAI

Keras-model-zoo

CycleGAN_TF2

Implementation of CycleGAN in tf.keras

transformers

A collection of resources to study Transformers in depth.

building_models_in_JAX

Kaggle

aakashkumarnain.github.io

AakashKumarNain

docs

TensorFlow documentation

Notebooks

keras-core

A multi-backend implementation of the Keras API, with support for TensorFlow, JAX, and PyTorch.

addons

Useful extra functionality for TensorFlow 2.0 maintained by SIG-addons

Agent-E

Automation that is driven by one or more agents

augmix

AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty

ddpms

Implementation of Denoising Diffusion Probabilistic Models in TensorFlow and Keras

equinox

Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/

keras-io

Keras documentation, hosted live at keras.io

keras_jax

Keras for Jax

objax

RFCs

Discussion regarding TF-addons

sample_blog.github.io

simclr

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

swav

PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882