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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:Microsoft Autogen Graph Based Agent Orchestration
- Workflow:PeterL1n BackgroundMattingV2 Video matting inference
- Workflow:Anthropics Anthropic sdk python Basic Message Conversation
- Workflow:Apache Shardingsphere Shadow Rule Configuration
- Workflow:Deepset ai Haystack RAG Evaluation Pipeline
- Workflow:Scikit learn contrib Imbalanced learn Balanced Deep Learning Training
- Workflow:TA Lib Ta lib python Installation And Setup
- Workflow:Hiyouga LLaMA Factory Full Parameter SFT
- Workflow:Langchain ai Langchain Tool Calling Structured Output
- Workflow:Pyro ppl Pyro MCMC Inference
Principles
- Principle:FlowiseAI Flowise Dependency Management
- Principle:CrewAIInc CrewAI MCP Server Connection
- Principle:Huggingface Transformers Pipeline Forward Pass
- Principle:Togethercomputer Together python API Error Handling
- Principle:FlagOpen FlagEmbedding Knowledge Distillation Scoring
- Principle:Infiniflow Ragflow Agent Creation
- Principle:Huggingface Alignment handbook APO Zero Preference Alignment
- Principle:Triton inference server Server Inference Request
- Principle:InternLM Lmdeploy API Client Integration
- Principle:Alibaba ROLL MCoreAdapter Model Configuration
Implementations
- Implementation:Apache Airflow RemoteLogIO Protocol
- Implementation:SqueezeAILab ETS Tree Expand
- Implementation:Ucbepic Docetl MOARSearch Search
- Implementation:Avhz RustQuant LogOption
- Implementation:ArroyoSystems Arroyo Table Catalog
- Implementation:Alibaba ROLL Merge LoRA Into State Dict
- Implementation:Microsoft DeepSpeedExamples GLUE Classifier BERT Base
- Implementation:Farama Foundation Gymnasium MountainCarEnv
- Implementation:Protectai Llm guard Input Gibberish
- Implementation:Hpcaitech ColossalAI Prepare Dataset SFT
Heuristics
- Heuristic:ChenghaoMou Text dedup Fingerprint Batch Size One
- Heuristic:Mlc ai Web llm KV Cache Window Configuration
- Heuristic:Microsoft DeepSpeedExamples LoRA Learning Rate Scaling
- Heuristic:SqueezeAILab ETS Max Depth And Token Guards
- Heuristic:Hiyouga LLaMA Factory Quantized Training Best Practices
- Heuristic:Datahub project Datahub Emitter Selection Strategy
- Heuristic:LMCache LMCache Chunk Size And Default Config
- Heuristic:Shiyu coder Kronos Instance Normalization Clipping
- Heuristic:Princeton nlp Tree of thought llm Functools Partial Model Binding
- Heuristic:Langgenius Dify Warning Deprecated Default Datasource Auth
Environments
- Environment:PacktPublishing LLM Engineers Handbook Python 3 11 Poetry Environment
- Environment:Open compass VLMEvalKit API Keys And Credentials
- Environment:Langfuse Langfuse Docker Infrastructure
- Environment:Langfuse Langfuse Redis 7 Queue Cache
- Environment:Kserve Kserve Cert Manager
- Environment:Microsoft Onnxruntime CPU Training Environment
- Environment:MaterializeInc Materialize Buildkite CI Runtime
- Environment:Sgl project Sglang CUDA Runtime
- Environment:Langgenius Dify Docker Compose Environment
- Environment:NVIDIA NeMo Curator RAPIDS GPU Stack