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Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
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AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
《Designing Data-Intensive Application》DDIA中文翻译
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
Pyodide is a Python distribution for the browser and Node.js based on WebAssembly
Large Language Model Text Generation Inference
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support
ModelScope: bring the notion of Model-as-a-Service to life.
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OpenCompass is an LLM evaluation platform, supporting a wide range of models (Llama3, Mistral, InternLM2,GPT-4,LLaMa2, Qwen,GLM, Claude, etc) over 100+ datasets.
Build, Store, and Distribute your Applications and Containers
A simple code complexity analyser without caring about the C/C++ header files or Java imports, supports most of the popular languages.
Distributed ML Training and Fine-Tuning on Kubernetes
Several simple examples for popular neural network toolkits calling custom CUDA operators.
DLRover: An Automatic Distributed Deep Learning System
pypyr task-runner cli & api for automation pipelines. Automate anything by combining commands, different scripts in different languages & applications into one pipeline process.
GPU environment and cluster management with LLM support
Openstack Sequence Diagrams(Openstack操作序列图)