charlotte0829

charlotte0829's Stars

• ray-project/ray

  Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

  Language:Python33.2k47618.5k5.6k

• PaddlePaddle/Paddle

  PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

  Language:C++22.1k71718.3k5.5k

• apache/brpc

  brpc is an Industrial-grade RPC framework using C++ Language, which is often used in high performance system such as Search, Storage, Machine learning, Advertisement, Recommendation etc. "brpc" means "better RPC".

  Language:C++16.4k8121.7k4k

• dmlc/dgl

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

  Language:Python13.4k1732.8k3k

• jindongwang/transferlearning

  Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

  Language:Python13.3k3403383.8k

• amusi/Deep-Learning-Interview-Book

  深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）

  7.5k180111.3k

• Oneflow-Inc/oneflow

  OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.

  Language:C++5.9k145968665

• naturomics/CapsNet-Tensorflow

  A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules

  Language:Python3.8k249661.2k

• NVIDIA/nccl

  Optimized primitives for collective multi-GPU communication

  Language:C++3.1k1531.3k791

• chaozh/MIT-6.824

  Basic Sources for MIT 6.824 Distributed Systems Class

  Language:Go3.1k8211622

• ZiyaoGeng/RecLearn

  Recommender Learning with Tensorflow2.x

  Language:Python1.9k3582492

• guyulongcs/Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising

  Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.

  Language:Python1.4k521221

• DreamAndDead/CSAPP-3e-Solutions

  CSAPP 3e Solutions, migrated to github.io from gitbook.io which is being shut down.

  Language:C1.4k2658306

• brendenlake/omniglot

  Omniglot data set for one-shot learning

  Language:MATLAB1.3k460361

• wenweihu86/raft-java

  Raft Java implementation which is simple and easy to understand.

  Language:Java1.2k4437403

• sekwiatkowski/awesome-capsule-networks

  A curated list of awesome resources related to capsule networks

  973723196

• anthonywilliams/ccia_code_samples

  Code samples for C++ Concurrency in Action

  Language:C++6812331210

• dashpradeep99/https-github.com-miguellgt-books

  books

  679635359

• pumpikano/tf-dann

  Domain-Adversarial Neural Network in Tensorflow

  Language:Jupyter Notebook6281629224

• fungtion/DANN_py3

  python 3 pytorch implementation of DANN

  Language:Python50541496

• mofaph/csapp

  Computer Systems: A Programmer's Perspective

  Language:C475340169

• tobegit3hub/miniflow

  Minimal numerical computation library with TensorFlow APIs

  Language:C30127554

• YuxianMeng/Matrix-Capsules-pytorch

  A Pytorch implementation of "Matrix Capsules with EM routing"

  Language:Python234141048

• Zhenye-Na/CSAPP-Labs

  :computer: Computer Systems: A Programmer's Perspective, Lab Assignments Solutions

  Language:C1835084

• xlvector/sw2v

  sparse word2vec

  Language:C++10912234

• yakouyang/Multilevel_Wavelet_Decomposition_Network_Pytorch

  This project is the pytorch implementation version of Multilevel Wavelet Decomposition Network.

  Language:Python9610526

• ctliu3/dist-lr

  A distributed logistic regression system based on ps-lite.

  Language:C++454824

• subjam/concurrency-in-action

  source code for the book "C++ Concurrency in Action"

  Language:C++285112

• lifeiteng/Optimizers

  Tensorflow Optimizers

  Language:Python11421

• charlotte0829/ComiRec

  Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"

  Language:Python1000