Visualizer for neural network, deep learning and machine learning models

Open standard for machine learning interoperability

This is a tensorflow implementation of R2CNN++: Multi-Dimensional Attention Based Rotation Invariant Detector with Robust Anchor Strategy.

Samples for CUDA Developers which demonstrates features in CUDA Toolkit

This repository contains the results and code for the MLPerf™ Inference v0.5 benchmark.

open source、high performance、industrial rtsp streaming server,a lot of optimization on streaming relay,KeyFrame cache,RESTful,and web management,also EasyDarwin support distributed load balancing,a…

VideoCapture封装，读取rtsp的实时帧

KungFu distributed machine learning framework

open source、high performance、industrial rtsp streaming server,a lot of optimization on streaming relay,KeyFrame cache,RESTful,and web management,also EasyDarwin support distributed load balancing,a…

Fast and Adaptive Distributed Machine Learning for TensorFlow, PyTorch and MindSpore.

Multilabel classification based on TextCNN and Attention

Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks" (Python3)

A Abstractive Summarization Implementation with Transformer and Pointer-generator

Deep contextualized word representations for Chinese

Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"

SqueezeNet: AlexNet-level accuracy with 50x fewer parameters

Deep Residual Learning for Image Recognition

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python

Model analyzer in PyTorch

pytorch model summary, statistic parameters number, memory usage, FLOPs and so on

pytorch model summary, statistic parameters number, memory usage, FLOPs and so on

Estimate theoretical computational cost of a chainer-based neural network

Build and run Docker containers leveraging NVIDIA GPUs

A CLI for Kubeflow.

🤘 awesome-semantic-segmentation

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

Tengine is a lite, high performance, modular inference engine for embedded device

Tengine is a lite, high performance, modular inference engine for embedded device

An Open Source Machine Learning Framework for Everyone