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leaf

liblinear

Tiny Modification: Read data from libsvm data type and save as armadillo matrix for c++ programming.

lightgbm

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

lottery-ticket-hypothesis

A reimplementation of "The Lottery Ticket Hypothesis" (Frankle and Carbin) on MNIST.

minimal-mistakes

A responsive Jekyll theme with clean typography and support for large full page images.

moving-semantic-transfer-network

Tensorflow codes for ICML2018, Learning Semantic Representations for Unsupervised Domain Adaptation

mpiplatform

A platform for distributed optimization expriments using OpenMPI

newsspider

This is file for program in recommendation system field.

online-learning-document

Algorithm documents

ps-lite

A lightweight parameter server interface

py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

pytorch-a3c

PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

pytorch-vgg-cifar10

This is the PyTorch implementation of VGG network trained on CIFAR10 dataset

pytorch-yolo-v3

A PyTorch implementation of the YOLO v3 object detection algorithm

qsgd-tf

QSGD-TF

rl_a3c_pytorch

Reinforcement learning with implementation of A3C LSTM for Atari 2600

slowbull.github.io

stanford_cs224d

nlp

stanford_cse231n

assignments

stochastic_gcn

Stochastic training of graph convolutional networks

stochastic_gradient_push

Stochastic Gradient Push for Distributed Deep Learning

stochs

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

tensorflow

Computation using data flow graphs for scalable machine learning

tensorpack

Neural Network Toolbox on TensorFlow

test_algorithm

test optimization algorithms

transform2act

[ICLR 2022 Oral] Official PyTorch Implementation of "Transform2Act: Learning a Transform-and-Control Policy for Efficient Agent Design".

transformer-xl

vimsetup

vin_tensorflow

TensorFlow implementation of Value Iteration Networks (VIN): Clean, Simple and Modular

vrsc-pg

This is the code for paper "Accelerated Method for Stochastic Composition Optimization with Nonsmooth Regularization" AAAI 2018