slowbull

slowbull's Stars

• SmirkCao/Lihang

  Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]

  Language:Python6.1k1.6k

• anxuthu/OccupyGPU

  Language:Python32

• stevenygd/SWALP

  Code for paper "SWALP: Stochastic Weight Averaging forLow-Precision Training".

  Language:Python625

• google-research/mixmatch

  Language:Python1.1k162

• han-cai/PathLevel-EAS

  Path-Level Network Transformation for Efficient Architecture Search, in ICML 2018.

  Language:Python11221

• google-parfait/tensorflow-federated

  An open-source framework for machine learning and other computations on decentralized data.

  Language:Python2.4k591

• google-research/google-research

  Google Research

  Language:Jupyter Notebook35k8k

• shaoanlu/faceswap-GAN

  A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.

  Language:Jupyter Notebook3.4k839

• OpenMined/PySyft

  Perform data science on data that remains in someone else's server

  Language:Python9.6k2k

• liamcli/randomNAS_release

  Code release for paper "Random Search and Reproducibility for NAS"

  Language:Python16719

• FederatedAI/FATE

  An Industrial Grade Federated Learning Framework

  Language:Python5.8k1.6k

• horovod/horovod

  Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

  Language:Python14.4k2.3k

• melodyguan/enas

  TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"

  Language:Python1.6k388

• kimiyoung/transformer-xl

  Language:Python3.6k761

• facebookarchive/fb.resnet.torch

  Torch implementation of ResNet from http://arxiv.org/abs/1512.03385 and training scripts

  Language:Lua2.3k665

• tomgoldstein/loss-landscape

  Code for visualizing the loss landscape of neural nets

  Language:Python2.9k410

• TalwalkarLab/leaf

  Leaf: A Benchmark for Federated Settings

  Language:Python872247

• fastai/fastai

  The fastai deep learning library

  Language:Jupyter Notebook26.7k7.6k

• cybertronai/imagenet18_old

  Code to reproduce "imagenet in 18 minutes" DAWN-benchmark entry

  Language:Python844159

• fastai/imagenet-fast

  Language:Python30474

• facebookresearch/maskrcnn-benchmark

  Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

  Language:Python9.3k2.5k

• DS3Lab/Decentralized-CNTK

  Language:C++21

• ChristopherSweeney/SlimNets

  Various implementations and experimentation for deep neural network model compression

  Language:Jupyter Notebook243

• ChengyueGongR/Frequency-Agnostic

  Code for NIPS 2018 paper 'Frequency-Agnostic Word Representation'

  Language:Python11520

• giorgiop/loss-correction

  Robust loss functions for deep neural networks (CVPR 2017)

  Language:Python9118

• matenure/FastGCN

  The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""

  Language:Python522111

• haeusser/learning_by_association

  This repository contains code for the paper Learning by Association - A versatile semi-supervised training method for neural networks (CVPR 2017) and the follow-up work Associative Domain Adaptation (ICCV 2017).

  Language:Jupyter Notebook15263

• albietz/stochs

  stochs: fast stochastic solvers for machine learning in C++ and Cython

  Language:C++268

• Mid-Push/Open_set_domain_adaptation

  Tensorflow Implementation of open set domain adaptation by backpropagation

  Language:Python2911

• corenel/pytorch-adda

  A PyTorch implementation for Adversarial Discriminative Domain Adaptation

  Language:Python481141