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apot_quantization

PyTorch implementation for the APoT quantization (ICLR 2020)

awesome-machine-learning-in-compilers

Must read research papers and links to tools and datasets that are related to using machine learning for compilers and systems optimisation

banana-navigation

Project 1 of Udacity's Deep Reinforcement Learning Nanodegree

binarynet.pytorch

Binarized Neural Network (BNN) for pytorch

compilergym

A reinforcement learning toolkit for compiler optimizations

compilergymexamples

Example environments and scripts utilizing CompilerGym

continuous-control

Project 2 of Udacity's Deep Reinforcement Learning Nanodegree

deblur-gan

Keras implementation of "DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks"

decompose-cnn

CP and Tucker decomposition for Convolutional Neural Networks

deepshift

Implementation of "DeepShift: Towards Multiplication-Less Neural Networks" https://arxiv.org/abs/1905.13298

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fos

Implementation of Fast Orthogonal Search (FOS) Algorithm in MATLAB

fos-python

Implementation of Fast Orthogonal Search (FOS) Algorithm in Python

ftwt

Fire Together Wire Together: A Dynamic Pruning Approach with Self-Supervised Mask Prediction

functorch

functorch is JAX-like composable function transforms for PyTorch.

glow

Compiler for Neural Network hardware accelerators

gpt-fast

Simple and efficient pytorch-native transformer text generation in <1000 LOC of python.

graph-mlpmixer

Repository for Graph MLP-Mixer

inq-pytorch

A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"

ithemal

Instruction THroughput Estimator using MAchine Learning (ITHEMAL)

keras

Deep Learning for humans

keras-imagenet

Example to load, train, and evaluate ImageNet2012 dataset on a Keras model

mips-q

VHDL model, assembler, and C/C++ compiler for MIPS-Q: a MIPS processor with a quantum processing module.

network-slimming

Network Slimming (Pytorch) (ICCV 2017)

olla

Optimizing the Lifetime and Location of Arrays to Reduce the Memory Usage of Neural Networks

openai-gym-taxi-v2

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-cifar

95.16% on CIFAR10 with PyTorch

pytorch-cnn-finetune

Fine-tune pretrained Convolutional Neural Networks with PyTorch

pytorch-summary

Model summary in PyTorch similar to `model.summary()` in Keras