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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:NVIDIA NeMo Curator Image Curation Pipeline
- Workflow:Sgl project Sglang Online Serving With OpenAI API
- Workflow:Bigscience workshop Petals Server Contribution
- Workflow:EvolvingLMMs Lab Lmms eval Custom Task Creation
- Workflow:ARISE Initiative Robomimic Dataset Preparation Pipeline
- Workflow:Intel Ipex llm DPO Finetuning
- Workflow:Anthropics Anthropic sdk python Structured Output Extraction
- Workflow:Risingwavelabs Risingwave CDC Data Replication
- Workflow:EvolvingLMMs Lab Lmms eval Custom Model Integration
- Workflow:Scikit learn contrib Imbalanced learn Ensemble Imbalanced Classification
Principles
- Principle:Huggingface Datasets Streaming Map Transform
- Principle:Apache Airflow Provider Documentation
- Principle:Triton inference server Server Request Tracing
- Principle:TobikoData Sqlmesh Plan Creation And Change Detection
- Principle:DataTalksClub Data engineering zoomcamp Dbt Testing And Documentation
- Principle:Hpcaitech ColossalAI Ray Weight Synchronization
- Principle:ArroyoSystems Arroyo UDF Compilation
- Principle:Langfuse Langfuse OTel Endpoint Reception
- Principle:BerriAI Litellm Retry And Fallback
- Principle:MaterializeInc Materialize Composition Service Definition
Implementations
- Implementation:Sgl project Sglang Marlin GEMM Template
- Implementation:Huggingface Trl Get Peft Config SFT
- Implementation:Haosulab ManiSkill AssemblingKits
- Implementation:Lance format Lance LegacyBitmapEncoding
- Implementation:Run llama Llama index Generate QA Embedding Pairs
- Implementation:Elevenlabs Elevenlabs python GetKnowledgeBaseFileResponseModel
- Implementation:NVIDIA TransformerEngine JAX Dequantizer
- Implementation:Roboflow Rf detr RFDETR Train Config
- Implementation:ARISE Initiative Robosuite ToolHang Environment
- Implementation:CarperAI Trlx Accelerate Base Datatypes
Heuristics
- Heuristic:OpenGVLab InternVL Multi GPU ViT Device Mapping
- Heuristic:Facebookresearch Audiocraft FSDP Distributed Training Tips
- Heuristic:Unstructured IO Unstructured Libmagic Filetype Accuracy
- Heuristic:Huggingface Datasets Warning Deprecated Pandas Builder
- Heuristic:Langchain ai Langgraph Durability Mode Selection
- Heuristic:Openai Whisper Compression Ratio Threshold
- Heuristic:Norrrrrrr lyn WAInjectBench LoRA Rank Alpha Selection
- Heuristic:OpenGVLab InternVL Pixel Shuffle Downsampling
- Heuristic:LaurentMazare Tch rs CuDNN Benchmark Mode
- Heuristic:Mit han lab Llm awq Kernel Selection Thresholds
Environments
- Environment:Microsoft Onnxruntime Distributed Training Environment
- Environment:Diagram of thought Diagram of thought LLM API
- Environment:Pyro ppl Pyro Python PyTorch Core
- Environment:LLMBook zh LLMBook zh github io PyTorch CUDA GPU Environment
- Environment:Microsoft DeepSpeedExamples SuperOffload Runtime
- Environment:Teamcapybara Capybara Ruby And Gem Dependencies
- Environment:OpenHands OpenHands Integration Credentials
- Environment:Vllm project Vllm Python
- Environment:Deepseek ai Janus JanusFlow Diffusers Environment
- Environment:Langchain ai Langgraph Postgres Checkpoint Environment