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bytemlperf

AI Accelerator Benchmark focuses on evaluating AI Accelerators from a practical production perspective, including the ease of use and versatility of software and hardware.

caffe

Caffe: a fast open framework for deep learning.

caffe-googlenet-bn

re-implementation of googlenet batch normalization

caffe-model

Caffe models (including classification, detection and segmentation) and deploy files for famouse networks

deepspeed

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

eagle

EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty

erf

gpt-3

GPT-3: Language Models are Few-Shot Learners

habana_transformers

just a test

llvm-project

The LLVM Project is a collection of modular and reusable compiler and toolchain technologies. Note: the repository does not accept github pull requests at this moment. Please submit your patches at http://reviews.llvm.org.

lockfreeprogramming

mimicmotion

High-Quality Human Motion Video Generation with Confidence-aware Pose Guidance

mm

ops

pandoratrader

CTP 高频量化交易平台 C++ Trade Platform for quant developer

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

qwen-tensorrt-llm

reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials

resnet_torch_habana

roboschool

Open-source software for robot simulation, integrated with OpenAI Gym.

sgemm-implementation-and-optimization

:pencil: Some source code about matrix multiplication implementation on CUDA

spinningup

An educational resource to help anyone learn deep reinforcement learning.

spinningup-workshop

For educational materials related to the spinning up workshops.

superironman

记录备份互联网高质量资料与咨询

tensorrt

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

tensorrt-llm

TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.

tools

some small tools……

training

Reference implementations of training benchmarks

tvm

Open deep learning compiler stack for cpu, gpu and specialized accelerators