Kimi Code CLI is your next CLI agent.

🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning

Building General-Purpose Robots Based on Embodied Foundation Model

RLinf is a flexible and scalable open-source infrastructure designed for post-training foundation models (LLMs, VLMs, VLAs) via reinforcement learning.

Analyze the inference of Large Language Models (LLMs). Analyze aspects like computation, storage, transmission, and hardware roofline model in a user-friendly interface.

Fast and memory-efficient exact attention

CUDA Templates for Linear Algebra Subroutines

Domain-specific language designed to streamline the development of high-performance GPU/CPU/Accelerators kernels

Ongoing research training transformer models at scale

主要记录大语言大模型（LLMs） 算法（应用）工程师相关的知识及面试题

An AI Hedge Fund Team

Disaggregated serving system for Large Language Models (LLMs).

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

The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.

Making large AI models cheaper, faster and more accessible

Enable everyone to develop, optimize and deploy AI models natively on everyone's devices.

Training and serving large-scale neural networks

A list of awesome compiler projects and papers for tensor computation and deep learning.