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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:Huggingface Open r1 SFT Distillation
- Workflow:Huggingface Diffusers Checkpoint Conversion
- Workflow:Nightwatchjs Nightwatch Page Object Pattern
- Workflow:Risingwavelabs Risingwave CDC Data Replication
- Workflow:MaterializeInc Materialize Upgrade Testing
- Workflow:Explodinggradients Ragas Prompt Evaluation And Iteration
- Workflow:Eventual Inc Daft Data Lakehouse ETL
- Workflow:Huggingface Trl Reward Model Training
- Workflow:Mlfoundations Open flamingo Model Creation And Inference
- Workflow:Danijar Dreamerv3 Single Process Training
Principles
- Principle:Iamhankai Forest of Thought LLM Pipeline Loading
- Principle:Neuml Txtai API Server Bootstrap
- Principle:Google research Deduplicate text datasets Dataset Serialization TFDS
- Principle:Dagster io Dagster Data Quality Validation
- Principle:Langgenius Dify Service Layer Architecture
- Principle:Microsoft Agent framework Conditional Routing
- Principle:ArroyoSystems Arroyo Pipeline Submission
- Principle:LMCache LMCache Prefill Decode Configuration
- Principle:NVIDIA DALI PyTorch Iterator
- Principle:Explodinggradients Ragas Genetic Prompt Optimization
Implementations
- Implementation:Kornia Kornia Hyperplane
- Implementation:Online ml River Base DriftDetector
- Implementation:Mlc ai Mlc llm Serve
- Implementation:Datahub project Datahub SparkPathUtils
- Implementation:Eventual Inc Daft Read Csv
- Implementation:Haosulab ManiSkill ActionRepeatWrapper
- Implementation:Avhz RustQuant Surface
- Implementation:Langfuse Langfuse BlobStorageLog Repository
- Implementation:Datajuicer Data juicer Compress Utils
- Implementation:Langchain ai Langgraph EncryptedSerializer
Heuristics
- Heuristic:Diagram of thought Diagram of thought Acyclicity Constraint Enforcement
- Heuristic:Norrrrrrr lyn WAInjectBench LoRA Rank Alpha Selection
- Heuristic:Vespa engine Vespa Document Batch Processing Strategy
- Heuristic:Mage ai Mage ai Record Deduplication Before Batch Export
- Heuristic:Mlfoundations Open flamingo RICES Feature Caching
- Heuristic:Microsoft Semantic kernel Prompt Injection Safety
- Heuristic:Huggingface Alignment handbook QLoRA Learning Rate Scaling
- Heuristic:OpenHands OpenHands Clustered Race Condition Prevention
- Heuristic:Sktime Pytorch forecasting Early Stopping Patience
- Heuristic:Fastai Fastbook Random Forest Defaults
Environments
- Environment:Anthropics Anthropic sdk python AWS Bedrock Environment
- Environment:Shiyu coder Kronos Comet ML Logging
- Environment:Run llama Llama index Python LlamaIndex Core
- Environment:Intel Ipex llm Build Environment
- Environment:PacktPublishing LLM Engineers Handbook Selenium Chrome Crawler Environment
- Environment:Tensorflow Serving Python Client Environment
- Environment:Obss Sahi Python Detection Frameworks
- Environment:Haosulab ManiSkill GPU CUDA Simulation
- Environment:Apache Beam Portable Runner Environment
- Environment:Intel Ipex llm XPU Finetuning Environment