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blade-build

Blade is a powerful build system from Tencent, supports many mainstream programming languages, such as C/C++, java, scala, python, protobuf...

bladedisc

BladeDISC is an end-to-end DynamIc Shape Compiler project for machine learning workloads.

brpc

brpc is an Industrial-grade RPC framework using C++ Language, which is often used in high performance system such as Search, Storage, Machine learning, Advertisement, Recommendation etc. "brpc" means "better RPC".

byteps

A high performance and generic framework for distributed DNN training

bytetransformer

optimized BERT transformer inference on NVIDIA GPU. https://arxiv.org/abs/2210.03052

colossalai

Making big AI models cheaper, easier, and more scalable

cutlass

CUDA Templates for Linear Algebra Subroutines

decryptprompt

总结Prompt&LLM论文，开源数据&模型，AIGC应用

easynlp

EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit

fastertransformer

Transformer related optimization, including BERT, GPT

habitat

🔮 Execution time predictions for deep neural network training iterations across different GPUs.

how-to-optimize-gemm

inference

Reference implementations of MLPerf™ inference benchmarks

lightseq

LightSeq: A High Performance Library for Sequence Processing and Generation

maskdit

Code for Fast Training of Diffusion Models with Masked Transformers

metann

muduo

Event-driven network library for multi-threaded Linux server in C++11

ncnn

ncnn is a high-performance neural network inference framework optimized for the mobile platform

netron

Visualizer for neural network, deep learning, and machine learning models

nlp_paper_study

该仓库主要记录 NLP 算法工程师相关的顶会论文研读笔记

onnx

Open standard for machine learning interoperability

onnx-modifier

A tool to modify onnx models in a visualization fashion, based on Netron and flask.

onnxruntime

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

optimizing-sgemm-on-nvidia-turing-gpus

Optimizing SGEMM kernel functions on NVIDIA GPUs to a close-to-cuBLAS performance.

pmpp__programming_massively_parallel_processors

Examples and exercises from the book Programming Massively Parallel Processors - A Hands-on Approach. David B. Kirk and Wen-mei W. Hwu (Third Edition)

pouch

An Efficient Enterprise-class Container Engine

protobuf

Protocol Buffers - Google's data interchange format

recommenders-addons

Additional utils and helpers to extend TensorFlow when build recommendation systems, contributed and maintained by SIG Recommenders.

server

The Triton Inference Server provides an optimized cloud and edge inferencing solution.

tinyneuralnetwork

TinyNeuralNetwork is an efficient and easy-to-use deep learning model compression framework.