mpjlu

3Dunet_abdomen_cascade

AI-Software-Startups

A Survey of AI startups

Awesome-LLM-Inference

📖A curated list of Awesome LLM Inference Paper with codes, TensorRT-LLM, vLLM, streaming-llm, AWQ, SmoothQuant, WINT8/4, Continuous Batching, FlashAttention, PagedAttention etc.

benchm-ml

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

BigDL-core

Core HW bindings and optimizations for BigDL

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 (HSW+) and Intel® Xeon Phi processors

Deep-Learning-Papers-Reading-Roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.

FasterTransformer

Transformer related optimization, including BERT, GPT

HiBench

HiBench is a big data benchmark suite.

imllib-spark

inference

Reference implementations of inference benchmarks

Informer2020

The GitHub repository for the paper "Informer" accepted by AAAI 2021 (Best paper award).

Mask_RCNN

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

MTCNN-Tensorflow

Reproduce MTCNN using Tensorflow

PainlessInferenceAcceleration

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

serving

A flexible, high-performance serving system for machine learning models

spark

Mirror of Apache Spark

spark-timeseries

A library for time series analysis on Apache Spark

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow_pkg

tensorrt

TensorFlow/TensorRT integration

TensorRT-1

TensorRT is a C++ library for high performance inference on NVIDIA GPUs and deep learning accelerators.

tf_unet

Generic U-Net Tensorflow implementation for image segmentation

TNN

TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework.

travis-broken-example

An example that will cause a build failure

UER-py-1

Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo

use_vim_as_ide

use vim as IDE

wavenet_vocoder

WaveNet vocoder