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android_guides

Extensive Open-Source Guides for Android Developers

arm_nn_examples

How to run deep learning model on microcontroller with CMSIS-NN

awesome-deep-learning-papers

The most cited deep learning papers

awesome-deeplearning-resources

Deep Learning and deep reinforcement learning research papers and some codes

awesome-model-quantization

A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.

awesome-rl

Reinforcement learning resources curated

awesome-transformer-attention

An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

awr1642-read-data-python-

best_ai_paper_2020

A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code

bindsnet

Simulation of spiking neural networks (SNNs) using PyTorch.

blog

for code created as part of http://studywolf.wordpress.com

cameras

clr

course-content

courses

fast.ai Courses

cs231n

Convolutional Neural Networks Assignments

deep-learning-from-scratch

Based on Deep Learning Specialization Course - deeplearning.ai & Coursera

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deeplearning

deeplearning-models

A collection of various deep learning architectures, models, and tips

deeplearning.ai

deeplearning.ai , By Andrew Ng, Deep Learning Specialization Master Deep Learning, and Break into AI

deepxde

Deep learning library for solving differential equations and more

difflogic

A Library for Differentiable Logic Gate Networks

distiller

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

dsb2017

The solution of team 'grt123' in DSB2017

elpv-dataset

A dataset of functional and defective solar cells extracted from EL images of solar modules

eulerian-video-magnification-ipython

fast-style-transfer

A TensorFlow implementation of real-time style transfer based on the paper 'Perceptual Losses for Real-Time Style Transfer and Super-Resolution' by Johnson et. al

fastai

The fast.ai deep learning library, lessons, and tutorials

generative-adversarial-networks

Introduction to generative adversarial networks, with code to accompany the O'Reilly tutorial on GANs