GitHub / wangkuiyi
Total Commits: 3
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）
Commits: 199
wangkuiyi/phoenix-1
Commits: 53
apple/ml-recurrent-drafter
Commits: 50
wangkuiyi/recordio
Commits: 39
sql-machine-learning/fluid
Commits: 39
sysucjf111/gohive
Commits: 38
wangkuiyi/dockerize-devbox
Commits: 33
wangkuiyi/pandoc-with-graphviz-filter
Commits: 29
sql-machine-learning/playground
Deploy SQLFlow service mesh on Windows, macOS, and Linux desktop computers
Commits: 26
xushiwei/gop
Commits: 18
visualfc/xgo
Commits: 18
goplus/gop
The Go+ programming language is designed for engineering, STEM education, and data science. Our vision is to enable everyone to become a builder of the digital world.
Commits: 18
goplus/xgo
XGo is the first AI-native programming language that integrates software engineering into a unified whole. Our vision is to enable everyone to become a builder of the world.
Commits: 18
Yancey0623/gotorch
Commits: 17
wangkuiyi/dtensor
Commits: 16
wangkuiyi/canonicalize-go-python-grpc-dev-env
Commits: 14
typhoonzero/kubernetes
A practical and thus comprehensive guide to concepts in Kubernetes
Commits: 13
wangkuiyi/code-review-what
Commits: 13
wangkuiyi/build-mysql-from-source
Commits: 10
wangkuiyi/learn-calcite
Commits: 9
PaddlePaddle/Paddle-Lite
PaddlePaddle High Performance Deep Learning Inference Engine for Mobile and Edge (飞桨高性能深度学习端侧推理引擎）
Commits: 7
iree-org/iree-jax
Commits: 6
wangkuiyi/goimportpath
Commits: 6
elasticdeeplearning/edl
Commits: 4
wangkuiyi/jupyter-in-docker
A Dockerfile that installs and run Jupyter Notebook Server in Docker containers
Commits: 4
wangkuiyi/compress_io
Commits: 4
frost-beta/mlx-cuda
Commits: 4
rooflineai/iree
Commits: 3
wangkuiyi/bazel-platform-tutorial
Commits: 3
liqinweng/iree
Commits: 3
openxla/iree
Commits: 3
wangkuiyi/iree-for-apple-platforms
This project builds the IREE compiler for macOS and the IREE runtime for macOS, iOS, watchOS, and tvOS
Commits: 2
wangkuiyi/c--template-specialization
We show that specializations of a template can be placed in .cc files.
Commits: 2
wangkuiyi/rpc-tech-benchmark
Commits: 2
wangkuiyi/libtorch-android
Commits: 2
pytorch/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Commits: 2
cryptix/wav
Commits: 2
regexb/wav
Commits: 2
wangkuiyi/a
Commits: 2
diweisun/pytorch-verbose
Commits: 2
siriusinftra/pytorch
Commits: 2
wangkuiyi/markdown-converter
A Racket module using FFI to load Discount and support Markdown text conversion.
Commits: 2
wangkuiyi/practice-branching-model
Commits: 2
Unity-Technologies/tensorflow
Commits: 1
espressif/tensorflow
Commits: 1
jieun1018/whisper
Commits: 1
yaoisss/transformers
Commits: 1
sumedhghaisas2/transformers_private
Commits: 1
tianhua2/huggingface_cgra
Commits: 1
omri123/transformers
Commits: 1
chaoscodes/transformers
Commits: 1
zyphra/transformers_zamba2
Commits: 1
fuchengjia1996/transformers-pred
Commits: 1
dilshat/tensorflow
Commits: 1
JeremyPansier/tensorflow
Commits: 1
kdavis-mozilla/tensorflow
Commits: 1
Hypnotriod/tensorflow
Commits: 1
Intel-tensorflow/tensorflow
Commits: 1
hdu-hh/tensorflow
Commits: 1
huggingface/transformers
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Commits: 1
DeepRec-AI/DeepRec
DeepRec is a high-performance recommendation deep learning framework based on TensorFlow. It is hosted in incubation in LF AI & Data Foundation.
Commits: 1
DeepRec-AI/DeepRec
DeepRec is a high-performance recommendation deep learning framework based on TensorFlow. It is hosted in incubation in LF AI & Data Foundation.
Commits: 1
pytorch/cpuinfo
CPU INFOrmation library (x86/x86-64/ARM/ARM64, Linux/Windows/Android/macOS/iOS)
Commits: 1
llvm/torch-mlir
The Torch-MLIR project aims to provide first class support from the PyTorch ecosystem to the MLIR ecosystem.
Commits: 1
smartibase/smart-transformers
Smart Transformers are a versatile machine learning tool that can be integrated with Pytorch, TensorFlow, and JAX. Smart transformers provide accurate computations required for cryptographic algorithms. These transformers is that they are independent modules, making it efficient to experiment with various research projects related to cryptanalysis
Commits: 1
beomi/transformers-lmhead-logits
Commits: 1
nimblehq/tensorflow-android
Commits: 1
baidu-research/tensorflow-allreduce
Commits: 1
