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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 |
Explore Pages
Workflows
- Workflow:Mlfoundations Open flamingo Few Shot Evaluation
- Workflow:Risingwavelabs Risingwave Streaming ETL Pipeline
- Workflow:Langgenius Dify Docker Deployment
- Workflow:Apache Spark Building and Testing
- Workflow:SeldonIO Seldon core Model Explainability
- Workflow:Lucidrains X transformers Encoder Decoder Sequence to Sequence
- Workflow:Ollama Ollama Safetensors To GGUF Conversion
- Workflow:Apache Shardingsphere Metadata DDL Refresh
- Workflow:EvolvingLMMs Lab Lmms eval Server Mode Evaluation
- Workflow:DataTalksClub Data engineering zoomcamp dlt Data Ingestion
Principles
- Principle:Isaac sim IsaacGymEnvs 3D Rotation Mathematics
- Principle:Apache Shardingsphere DDL Metadata Reload
- Principle:Langchain ai Langgraph Chatbot Simulation Evaluation
- Principle:Online ml River Incremental Clustering Interface
- Principle:Apache Spark Release Artifact Publishing
- Principle:MaterializeInc Materialize Console Release Coordination
- Principle:Explodinggradients Ragas Results Analysis
- Principle:Nightwatchjs Nightwatch Custom Assertion Creation
- Principle:ARISE Initiative Robosuite Lighting Randomization
- Principle:Microsoft Agent framework Custom Aggregation Pattern
Implementations
- Implementation:EvolvingLMMs Lab Lmms eval StructEditBench 2Stage Eval
- Implementation:NVIDIA TransformerEngine CudaRNGStatesTracker
- Implementation:Tencent Ncnn Npy Reader
- Implementation:Langchain ai Langchain ChatGroq
- Implementation:Marker Inc Korea AutoRAG Api Runner Run Api Server
- Implementation:EvolvingLMMs Lab Lmms eval MMUPD Utils
- Implementation:Ucbepic Docetl MOAR ParetoFrontier
- Implementation:Kubeflow Kubeflow Model Registry API
- Implementation:Triton inference server Server Perf Analyzer Verification
- Implementation:Intel Ipex llm Axolotl Finetuning
Heuristics
- Heuristic:Allenai Open instruct Warning Archived Dev Scripts
- Heuristic:Infiniflow Ragflow Reranking Weight Tuning
- Heuristic:Datahub project Datahub Secret Handling And Deprecation Patterns
- Heuristic:Explodinggradients Ragas LLM Temperature Defaults
- Heuristic:Scikit learn contrib Imbalanced learn KNeighbors Selection Tips
- Heuristic:Sgl project Sglang Chunked Prefill OOM Prevention
- Heuristic:Getgauge Taiko Implicit Wait Tuning
- Heuristic:Huggingface Datatrove Thundering Herd Prevention
- Heuristic:Puppeteer Puppeteer Navigation Race Condition Avoidance
- Heuristic:Microsoft Playwright Test Stability Practices
Environments
- Environment:Huggingface Datatrove S3 Storage Environment
- Environment:Allenai Open instruct Beaker Cluster
- Environment:Langfuse Langfuse Redis 7 Queue Cache
- Environment:Mistralai Client python Agents Environment
- Environment:Mistralai Client python Python SDK Environment
- Environment:Sgl project Sglang OpenAI
- Environment:Sgl project Sglang Performance Dashboard
- Environment:Apache Paimon Python Core Runtime
- Environment:Alibaba ROLL SGLang Inference Environment
- Environment:LMCache LMCache VLLM Serving Engine