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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 Semantic kernel Agent Conversation And Orchestration
- Workflow:OpenBMB UltraFeedback Completion Generation
- Workflow:Mlc ai Mlc llm Disaggregated Serving
- Workflow:Apache Spark Release Process
- Workflow:Speechbrain Speechbrain Whisper ASR Finetuning
- Workflow:BerriAI Litellm Fine Tuning Job
- Workflow:Truera Trulens RAG With Guardrails
- Workflow:Rapidsai Cuml Time Series Forecasting
- Workflow:LaurentMazare Tch rs Pretrained Image Classification
- Workflow:Speechbrain Speechbrain Speaker Embedding Training
Principles
- Principle:Microsoft Onnxruntime ORTModule Training Loop
- Principle:Apache Shardingsphere SPI Rule Building
- Principle:Huggingface Datasets Schema Casting
- Principle:Deepspeedai DeepSpeed Inference Model Loading
- Principle:Diagram of thought Diagram of thought Trace Report Generation
- Principle:Apache Dolphinscheduler Workflow Triggering
- Principle:Nautechsystems Nautilus trader PyO3 Stub Generation
- Principle:Openai Evals Result Aggregation
- Principle:Volcengine Verl Reward Model Scoring
- Principle:Wandb Weave LLM Call Interception
Implementations
- Implementation:Google deepmind Mujoco Engine Util Errmem
- Implementation:Microsoft Autogen AssistantAgent On Messages Stream
- Implementation:Langchain ai Langchain Git Log Release Notes
- Implementation:Ggml org Llama cpp Ngram Map Header
- Implementation:Infiniflow Ragflow MetadataManageModal Hooks
- Implementation:Tensorflow Tfjs CPU Cast Kernel
- Implementation:Spotify Luigi DockerTask
- Implementation:Ucbepic Docetl OpContainers
- Implementation:Scikit learn contrib Imbalanced learn BalancedBatchGenerator
- Implementation:SeleniumHQ Selenium Platform
Heuristics
- Heuristic:Mistralai Client python Resource Context Manager
- Heuristic:Marker Inc Korea AutoRAG Passage Filter Safety Minimum
- Heuristic:Fede1024 Rust rdkafka Queue Buffering Priority
- Heuristic:Marker Inc Korea AutoRAG Module Selection Strategies
- Heuristic:Fede1024 Rust rdkafka Sensitive Config Sanitization
- Heuristic:ClickHouse ClickHouse ThinLTO Build Tradeoffs
- Heuristic:Eventual Inc Daft Runner Selection Guide
- Heuristic:Deepset ai Haystack Pipeline Max Runs Safety Limit
- Heuristic:PrefectHQ Prefect HTTP Connection Pool Tuning
- Heuristic:Run llama Llama index Finetuning Warmup Steps
Environments
- Environment:Intel Ipex llm Linux XPU Environment
- Environment:Protectai Llm guard Python Runtime Dependencies
- Environment:Langchain ai Langgraph Postgres Checkpoint Environment
- Environment:FlowiseAI Flowise Node Runtime Environment
- Environment:ARISE Initiative Robomimic HuggingFace Hub Dependencies
- Environment:Intel Ipex llm RAG LlamaIndex Environment
- Environment:Pyro ppl Pyro CUDA GPU Acceleration
- Environment:Nightwatchjs Nightwatch Android Mobile Testing
- Environment:Open compass VLMEvalKit Python Runtime Environment
- Environment:OpenBMB UltraFeedback OpenAI API Environment