Starred repositories
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.
astaxie / beego
Forked from beego/beegobeego 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
A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
HamidShojanazeri / examples
Forked from pytorch/examplesA set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
PyTorch extensions for high performance and large scale training.
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