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adamp

AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights (ICLR 2021)

adaptive-f-divergence

A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"

apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

binarynet.pytorch

Binarized Neural Network (BNN) for pytorch

cs231n

cutout

2.56%, 15.20%, 1.30% on CIFAR10, CIFAR100, and SVHN https://arxiv.org/abs/1708.04552

dcgan_code

Deep Convolutional Generative Adversarial Networks

deeplearning-benchmark

densepose

A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body

detr

End-to-End Object Detection with Transformers

dilinwang.github.io

distributionloss

Source code for paper "Regularizing Activation Distribution for Training Binarized Deep Networks"

dropout_bbalpha

Implementations of the ICML 2017 paper (with Yarin Gal)

examples

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

face-recognition

Deep face recognition with Keras, Dlib and OpenCV

fast-energy-aware-splitting

Energy-Aware Neural Architecture Optimization with Fast Splitting Steepest Descent

fermikit

De novo assembly based variant calling pipeline for Illumina short reads

graphical-svgd

Implementations of Graphical SVGD (ICML 2018)

hart

Hierarchical Attentive Recurrent Tracking

knowledge-distillation-pytorch

A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility

l0_regularization

Learning Sparse Neural Networks through L0 regularization

lookahead.pytorch

lookahead optimizer (Lookahead Optimizer: k steps forward, 1 step back) for pytorch

mabn

matrix_svgd

Stein Variational Gradient Descent with Matrix-Valued Kernels

mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

mobilenetv2.pytorch

72.2% MobileNetV2 1.0 model on ImageNet and a spectrum of pre-trained MobileNetV2 models

models

Models and examples built with TensorFlow

motion_energy_matlab

natural-gradients

Collection of algorithms for approximating Fisher Information Matrix for Natural Gradient (and second order method in general)

neural-architecture-transfer

Neural Architecture Transfer (Arxiv'20), PyTorch Implementation