Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, Baichuan, Mixtral, Gemma, Phi, MiniCPM, etc.) on Intel CPU and GPU (e.g., local PC with iGPU, discrete GPU such as Arc,…

JAX - A curated list of resources https://github.com/google/jax

CLU lets you write beautiful training loops in JAX.

Optax is a gradient processing and optimization library for JAX.

beego is an open-source, high-performance web framework for the Go programming language.

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals

A validation and profiling tool for AI infrastructure

CSI Plugin for Kubernetes, Support Alibaba Cloud EBS/NAS/OSS/CPFS

Running large language models on a single GPU for throughput-oriented scenarios.

An open-source framework for machine learning and other computations on decentralized data.

Performance analysis tools based on Linux perf_events (aka perf) and ftrace

Example recipes for Kubernetes Network Policies that you can just copy paste

Transformers 库快速入门教程

A framework for training and evaluating AI models on a variety of openly available dialogue datasets.

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

PyTorch extensions for high performance and large scale training.

The CernVM File System

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

Implementation of SYCL and C++ standard parallelism for CPUs and GPUs from all vendors: The independent, community-driven compiler for C++-based heterogeneous programming models. Lets applications …

Examples illustrating usage of the rocBLAS library

modern c++(c++20), cross-platform, header-only, easy to use http framework

《C++ Templates 第二版》中文翻译，和原书排版一致，第一部分（1至11章）以及第18，19，20，21、22、23、24、25章已完成，其余内容逐步更新中。 个人爱好，发现错误请指正

A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing neural networks

Natural Language Processing Best Practices & Examples

Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

Object Detection API Tensorflow

Code for Machine Learning for Algorithmic Trading, 2nd edition.

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

Recommender Learning with Tensorflow2.x