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adabits

adversarial-robustness-toolbox

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

aihwkit

IBM Analog Hardware Acceleration Kit

analog-nas

Analog AI Neural Architecture Search (analog-nas) is a modular and flexible framework to facilitate implementation of Analog-aware Neural Architecture Search.

apq

[CVPR 2020] APQ: Joint Search for Network Architecture, Pruning and Quantization Policy

auto-pytorch

Automatic architecture search and hyperparameter optimization for PyTorch

autodeeplab

Pytorch Implementation the paper Auto-DeepLab Hierarchical Neural Architecture Search for Semantic Image Segmentation

autogmap

Learning to Map Large-scale Sparse Graphs on Memristive Crossbar

aw_nas

aw_nas: A Modularized and Extensible NAS Framework

awesome-autodl

A curated list of automated deep learning (including neural architecture search and hyper-parameter optimization) resources.

awesome-pruning

A curated list of neural network pruning resources.

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

binarynet-on-tensorflow

binary weight neural network implementation on tensorflow

binarynet.pytorch

Binarized Neural Network (BNN) for pytorch

bitslice_sparsity

Codes for our paper "Exploring Bit-Slice Sparsity in Deep Neural Networks for Efficient ReRAM-Based Deployment" [NeurIPS'19 EMC2 workshop].

blyucs.github.io

Quickly build a beautiful personal blog. Example: Yuyao's Blog ->

bonas

bsq

BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization (ICLR 2021)

celebamask-hq

A large-scale face dataset for face parsing, recognition, generation and editing.

clever

CLEVER (Cross-Lipschitz Extreme Value for nEtwork Robustness) is a robustness metric for deep neural networks

cnn_graph

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

coco2voc

A tool for converting COCO style annotations to PASCAL VOC style segmentations

darts

Differentiable architecture search for convolutional and recurrent networks

darts.pytorch1.1

Implementation with latest PyTorch (v1.1) for multi-gpu DARTS https://arxiv.org/abs/1806.09055

ddpnas

Dynamic Distribution Pruning for Efficient Network Architecture Search

deepfool

A simple and accurate method to fool deep neural networks

demand_forecast

densenas

Densely Connected Search Space for More Flexible Neural Architecture Search (CVPR2020)

detectron2

Detectron2 is FAIR's next-generation research platform for object detection and segmentation.

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.