🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

The best ChatGPT that $100 can buy.

【A common used C++ & Python DAG framework】 一个通用的、无三方依赖的、跨平台的、收录于awesome-cpp的、基于流图的并行计算框架。欢迎star & fork & 交流

how to optimize some algorithm in cuda.

LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalability, and high-speed performance.

The simplest, fastest repository for training/finetuning medium-sized GPTs.

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

A high-performance runtime framework for modern robotics.

CUDA Core Compute Libraries

NVIDIA DLA-SW, the recipes and tools for running deep learning workloads on NVIDIA DLA cores for inference applications.

NVIDIA Linux open GPU kernel module source

数据结构和算法必知必会的50个代码实现

Example out-of-tree application that is also a module

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

The Ultra-Low Power RISC-V Core

RISC-V Instruction Set Manual

Generate diagrams from textual description

NVDLA SW

Open source AUTOSAR classic platform forked from the Arctic Core

Distributed Black-Box attacks against Image Classification.

NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.

Built and trained a convolutional network for end-to-end driving in a simulator using Tensorflow and Keras

Open-source simulator for autonomous driving research.

Primary Git Repository for the Zephyr Project. Zephyr is a new generation, scalable, optimized, secure RTOS for multiple hardware architectures.

Project ACRN hypervisor

The seL4 microkernel

Learn regex the easy way

Learning operating system development using Linux kernel and Raspberry Pi

Read-only mirror of Trusted Firmware-A