mzhang-code's Stars
microsoft/vscode
Visual Studio Code
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
apache/spark
Apache Spark - A unified analytics engine for large-scale data processing
facebookresearch/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
horovod/horovod
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
NVIDIA/DeepLearningExamples
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
dmlc/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
NVIDIA/TensorRT
NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
sqlalchemy/sqlalchemy
The Database Toolkit for Python
triton-inference-server/server
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
google/pprof
pprof is a tool for visualization and analysis of profiling data
NVIDIA/cuda-samples
Samples for CUDA Developers which demonstrates features in CUDA Toolkit
tensorflow/serving
A flexible, high-performance serving system for machine learning models
ROCm/ROCm
AMD ROCm™ Software - GitHub Home
KDAB/hotspot
The Linux perf GUI for performance analysis.
sksq96/pytorch-summary
Model summary in PyTorch similar to `model.summary()` in Keras
udacity/machine-learning
Content for Udacity's Machine Learning curriculum
bytedance/byteps
A high performance and generic framework for distributed DNN training
bosun-monitor/bosun
Time Series Alerting Framework
TylerYep/torchinfo
View model summaries in PyTorch!
pytorch/TensorRT
PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT
chen3feng/blade-build
Blade is a powerful build system from Tencent, supports many mainstream programming languages, such as C/C++, java, scala, python, protobuf...
uber/petastorm
Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.
uber/neuropod
A uniform interface to run deep learning models from multiple frameworks
apache/incubator-livy
Apache Livy is an open source REST interface for interacting with Apache Spark from anywhere.
NVIDIA/libnvidia-container
NVIDIA container runtime library
pytorch/elastic
PyTorch elastic training
PacktPublishing/Hands-On-GPU-Programming-with-Python-and-CUDA
Hands-On GPU Programming with Python and CUDA, published by Packt
pytorch/extension-script
Example repository for custom C++/CUDA operators for TorchScript
stanford-cme213/spring2019
CME213 Course Website, Spring 2019