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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:Google deepmind Mujoco Offscreen video recording
- Workflow:Langchain ai Langgraph Functional API Workflow
- Workflow:Apache Airflow Kubernetes Deployment via Helm
- Workflow:CrewAIInc CrewAI Hierarchical Crew Execution
- Workflow:Dotnet Machinelearning Text Classification
- Workflow:SeleniumHQ Selenium Contributor Development Workflow
- Workflow:Huggingface Trl Supervised Finetuning
- Workflow:Intel Ipex llm vLLM Serving
- Workflow:Microsoft Playwright End to end test authoring
- Workflow:Langgenius Dify Knowledge Base Creation
Principles
- Principle:Ggml org Llama cpp BatchProcessing
- Principle:MarketSquare Robotframework browser Extension Import and Registration
- Principle:PacktPublishing LLM Engineers Handbook SageMaker Training Orchestration
- Principle:Apache Paimon Target Table Preparation
- Principle:Hpcaitech ColossalAI Retrieval Augmented QA
- Principle:Explodinggradients Ragas Experiment Versioning
- Principle:Pyro ppl Pyro Deterministic Computation
- Principle:Webdriverio Webdriverio Service Initialization
- Principle:Interpretml Interpret EBM JSON Deserialization
- Principle:Recommenders team Recommenders Benchmark Metric Evaluation
Implementations
- Implementation:Interpretml Interpret RmseLogLinkRegressionObjective
- Implementation:Huggingface Datasets Dataset From List
- Implementation:Openai Evals Oaievalset Run
- Implementation:Hiyouga LLaMA Factory PPO Trainer
- Implementation:Online ml River Bandit Evaluate
- Implementation:Neuml Txtai Subindex Manager
- Implementation:Duckdb Duckdb SkipList
- Implementation:FlagOpen FlagEmbedding FlagAutoReranker From Finetuned Validation
- Implementation:Arize ai Phoenix PromptVersion Format
- Implementation:TobikoData Sqlmesh EnvironmentChanges
Heuristics
- Heuristic:Truera Trulens Trace Compression Token Limits
- Heuristic:MarketSquare Robotframework browser GRPC Response Chunking
- Heuristic:Marker Inc Korea AutoRAG Hybrid Retrieval Score Normalization
- Heuristic:Lakeraai Pint benchmark Chunking Stride 25 Percent Overlap
- Heuristic:FlowiseAI Flowise Edge Connection Type Matching
- Heuristic:Apache Dolphinscheduler Gzip Compression Threshold
- Heuristic:Alibaba ROLL KL Coefficient Tuning
- Heuristic:Evidentlyai Evidently Column Type Inference Rules
- Heuristic:Cohere ai Cohere python Tokenizer Cache With TTL
- Heuristic:Cleanlab Cleanlab Label Quality Scoring Method Selection
Environments
- Environment:Neuml Txtai API Server Configuration
- Environment:Microsoft BIPIA OpenAI API Environment
- Environment:Neuml Txtai Optional Extras Dependencies
- Environment:Apache Airflow Docker Container Environment
- Environment:EvolvingLMMs Lab Lmms eval Python Runtime Environment
- Environment:Speechbrain Speechbrain HuggingFace Transformers
- Environment:Facebookresearch Audiocraft FAD TensorFlow Environment
- Environment:Iterative Dvc Python Runtime
- Environment:Elevenlabs Elevenlabs python FFmpeg Mpv
- Environment:Protectai Llm guard Python Runtime Dependencies