Stars
The C based gRPC (C++, Python, Ruby, Objective-C, PHP, C#)
A library for efficient similarity search and clustering of dense vectors.
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
ncnn is a high-performance neural network inference framework optimized for the mobile platform
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
A toolkit for making real world machine learning and data analysis applications in C++
NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
Implementation of popular deep learning networks with TensorRT network definition API
OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
Optimized primitives for collective multi-GPU communication
Deep Learning API and Server in C++14 support for Caffe, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE
The official repository for the gem5 computer-system architecture simulator.
[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
ydwen / caffe-face
Forked from BVLC/caffeThis branch is developed for deep face recognition
Collective communications library with various primitives for multi-machine training.
[CVPR 2018] Look at Boundary: A Boundary-Aware Face Alignment Algorithm
This is the official GitHub repository for OpenSpace: an open source astrovisualization project. For instructions on how to build and run OpenSpace, see the Getting Started Guides on the wiki page …
Code for our CVPR 2019 paper: Selective Kernel Networks; See zhihu:https://zhuanlan.zhihu.com/p/59690223
yjxiong / caffe
Forked from MMLab-CU/caffeA fork of Caffe with OpenMPI-based Multi-GPU (mainly data parallel) support for action recognition and more. More documentation please see the original readme.
Caffe implementation of our multi-scale object detection framework
Caffe for Sparse and Low-rank Deep Neural Networks