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Your ML & Data Knowledge Wiki. Best practices and expert-level knowledge for Machine Learning and Data Engineering, covering 1000+ frameworks and libraries from training to deployment.
Browse implementation patterns, configuration guides, debugging heuristics, and battle-tested defaults for frameworks like vLLM, DeepSpeed, Megatron-LM, FlashAttention, Triton, Unsloth, LangChain, and many more. Every page is structured so both humans and AI agents can find what they need fast.
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| Category | Description | Browse |
|---|---|---|
| Workflows | Step-by-step processes and procedures | Browse All |
| Principles | Core ideas and foundational knowledge | Browse All |
| Implementations | Code-level details and modules | Browse All |
| Heuristics | Best practices and guidelines | Browse All |
| Environments | Setup and configuration guides | Browse All |
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Workflows
- Workflow:CarperAI Trlx RLHF Summarization Pipeline
- Workflow:Turboderp org Exllamav2 EXL2 Model Conversion
- Workflow:Lucidrains X transformers Encoder Decoder Sequence to Sequence
- Workflow:Ggml org Llama cpp HF to GGUF Model Conversion
- Workflow:Togethercomputer Together python Fine Tuning
- Workflow:LLMBook zh LLMBook zh github io Inference and Quantization
- Workflow:Getgauge Taiko Headless Browser Testing
- Workflow:Elevenlabs Elevenlabs python Text to Speech Generation
- Workflow:SeldonIO Seldon core Model Deployment
- Workflow:NVIDIA NeMo Curator Semantic Deduplication
Principles
- Principle:Datahub project Datahub Entity Read Modify
- Principle:Ollama Ollama Registry Authentication
- Principle:Facebookresearch Audiocraft Sample Management
- Principle:Facebookresearch Audiocraft Compression Quality Evaluation
- Principle:LaurentMazare Tch rs PyTorch Binding Code Generation
- Principle:Langgenius Dify Web App Sharing
- Principle:Avhz RustQuant Root Finding
- Principle:Tensorflow Serving HTTP Compression
- Principle:Pytorch Serve Distributed Configuration
- Principle:OpenHands OpenHands Action Server Startup
Implementations
- Implementation:Mistralai Client python ToolCall Model
- Implementation:EvolvingLMMs Lab Lmms eval Create Iterator
- Implementation:Huggingface Diffusers Tests Fetcher
- Implementation:Microsoft Playwright CrConnection
- Implementation:Online ml River Stats Minimum
- Implementation:Lance format Lance Java ColumnAlteration
- Implementation:Ollama Ollama MLXRunner Pipeline
- Implementation:LaurentMazare Tch rs Convert Checkpoint
- Implementation:AnswerDotAI RAGatouille RAGTrainer Init
- Implementation:Rapidsai Cuml HoltWinters C API
Heuristics
- Heuristic:AnswerDotAI RAGatouille Auto Batch Size For Long Documents
- Heuristic:Deepseek ai Janus Bfloat16 Dtype Selection
- Heuristic:SqueezeAILab ETS Lambda Similarity Scaling
- Heuristic:Langgenius Dify API Token Single Flight Caching
- Heuristic:Scikit learn Scikit learn N Jobs Parallelism Tips
- Heuristic:Lance format Lance Fragment Sizing Strategy
- Heuristic:Sgl project Sglang Chunked Prefill OOM Prevention
- Heuristic:Datahub project Datahub Emitter Selection Strategy
- Heuristic:Apache Spark Build Fallback Strategies
- Heuristic:PacktPublishing LLM Engineers Handbook Chunking Strategy By Content Type
Environments
- Environment:Triton inference server Server TRT LLM Deployment
- Environment:Google deepmind Mujoco MJX Warp CUDA Environment
- Environment:Neuml Txtai GPU Accelerator Detection
- Environment:Langgenius Dify Node Frontend Environment
- Environment:FlagOpen FlagEmbedding Finetuning Environment
- Environment:Datajuicer Data juicer LLM API Credentials Environment
- Environment:Bentoml BentoML Python Runtime
- Environment:Openai Openai agents python Memory Extensions Dependencies
- Environment:Haosulab ManiSkill Motion Planning Deps
- Environment:Pyro ppl Pyro Funsor Backend