zhangxiangxiao

Xiang Zhang's starred repositories

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++Apache-2.021643 722 17950

hosts

镜像：https://scaffrey.coding.net/p/hosts/git / https://git.qvq.network/googlehosts/hosts

NOASSERTION20837 1271 423

pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

Language:PythonBSD-3-Clause8949 217 179

xxHash

Extremely fast non-cryptographic hash algorithm

Language:CNOASSERTION8525 172 367

universe

Universe: a software platform for measuring and training an AI's general intelligence across the world's supply of games, websites and other applications.

Language:PythonMIT7440 550 193

flashlight

A C++ standalone library for machine learning

Language:C++MIT5168 123 383

StarSpace

Learning embeddings for classification, retrieval and ranking.

Language:C++MIT3916 176 199

MUSE

A library for Multilingual Unsupervised or Supervised word Embeddings

Language:PythonNOASSERTION3167 98 171

smhasher

Automatically exported from code.google.com/p/smhasher

Language:C++2572 109 80

html2text

Convert HTML to Markdown-formatted text.

Language:PythonGPL-3.02544 79 66

phxsql

A high availability MySQL cluster that guarantees data consistency between a master and slaves.

Language:C++NOASSERTION2466 268 169

phxrpc

A simple C++ based RPC framework.

Language:C++NOASSERTION1930 162 42

tera

An Internet-Scale Database.

Language:C++BSD-3-Clause1880 184 513

equinox

Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/

Language:PythonApache-2.01832 21 347

TorchCraft

Connecting Torch to StarCraft

Language:C++NOASSERTION1377 94 98

functorch

functorch is JAX-like composable function transforms for PyTorch.

Language:Jupyter NotebookBSD-3-Clause1372 28 520

dlpack

common in-memory tensor structure

Language:PythonApache-2.0855 47 65

caffe

This fork of BVLC/Caffe is dedicated to improving performance of this deep learning framework when running on CPU, in particular Intel® Xeon processors.

Language:C++NOASSERTION845 85 265