keerthanss's Stars
clojurians-org/haskell-ebook
cornell-zhang/dnn-quant-ocs
DNN quantization with outlier channel splitting
henline/streamexecutordoc
Documentation for StreamExecutor open source proposal
BYU-PCCL/holodeck
High Fidelity Simulator for Reinforcement Learning and Robotics Research.
navyars/Multi-Agent-Snake
Implemented Actor-Critic and Asynchronous Deep-Q learning algorithms for multi-agent snake game, wherein the agents compete with each other to maximise their score.
n0shake/Public-APIs
📚 A public list of APIs from round the web.
crazymuse/snakegame-numpy
LantaoYu/MARL-Papers
Paper list of multi-agent reinforcement learning (MARL)
dungba88/caffe-python3-install
Guide and troubleshooting for installing Caffe with Python3
JuliaAcademy/JuliaTutorials
Learn Julia via interactive tutorials!
openai/gym
A toolkit for developing and comparing reinforcement learning algorithms.
TianzhongSong/Tensorflow-quantization-test
Tensorflow quantization (float32-->int8) inference test
FluxML/Flux.jl
Relax! Flux is the ML library that doesn't make you tensor
knagaitsev/slither.io-clone
Learn how to make Slither.io with JavaScript and Phaser! This game clones all the core features of Slither.io, including mouse-following controls, snake collisions, food, snake growth, eyes, and more. Progress through each part of the source code with our Slither.io tutorial series.
MushroomRL/mushroom-rl
Python library for Reinforcement Learning.
kmario23/deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
ssloy/tinyrenderer
A brief computer graphics / rendering course
ForrestKnight/open-source-cs
Video discussing this curriculum:
sds-dubois/snake.ai
Multiplayer snake AI
lutzroeder/netron
Visualizer for neural network, deep learning and machine learning models
ysh329/deep-learning-model-convertor
The convertor/conversion of deep learning models for different deep learning frameworks/softwares.
terryum/awesome-deep-learning-papers
The most cited deep learning papers
brianmaierjr/long-haul
A minimal, type-focused Jekyll theme.
ethereon/caffe-tensorflow
Caffe models in TensorFlow
ethanhe42/channel-pruning
Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)
janishar/mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
Droogans/unmaintainable-code
A more maintainable, easier to share version of the infamous http://mindprod.com/jgloss/unmain.html
onnx/models
A collection of pre-trained, state-of-the-art models in the ONNX format
onnx/onnx
Open standard for machine learning interoperability
tensorflow/minigo
An open-source implementation of the AlphaGoZero algorithm