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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 Dm control Control Suite RL Training
- Workflow:Mlc ai Web llm Structured Output Generation
- Workflow:Deepspeedai DeepSpeed Hybrid Engine RLHF Training
- Workflow:Arize ai Phoenix Trace Ingestion Pipeline
- Workflow:CrewAIInc CrewAI Crew Training And Testing
- Workflow:Snorkel team Snorkel Multitask Classification
- Workflow:Confident ai Deepeval AI Agent Evaluation
- Workflow:Treeverse LakeFS Data Version Control With Branches
- Workflow:Kornia Kornia Differentiable Image Augmentation
- Workflow:Ggml org Ggml Backend Accelerated Computation
Principles
- Principle:Online ml River Time Series Base Interface
- Principle:Langchain ai Langgraph Deprecation Management
- Principle:VainF Torch Pruning Model Complexity Profiling
- Principle:Ggml org Llama cpp Debugging
- Principle:FMInference FlexLLMGen Offloading Policy Configuration
- Principle:Explodinggradients Ragas Multi Turn Evaluation Schema
- Principle:SeldonIO Seldon core Experiment Traffic Analysis
- Principle:Promptfoo Promptfoo Evaluation Execution
- Principle:SeleniumHQ Selenium CDP Event Subscription
- Principle:Apache Airflow Final Publication
Implementations
- Implementation:Speechbrain Speechbrain Prepare KsponSpeech Tokenizer
- Implementation:Norrrrrrr lyn WAInjectBench text ensemble detect
- Implementation:Openai Openai python Response Custom Tool Call Input Done
- Implementation:Apache Druid ExploreState
- Implementation:Tensorflow Serving Util
- Implementation:Apache Paimon BlockReader
- Implementation:Ucbepic Docetl WebSocket Run Pipeline
- Implementation:FlagOpen FlagEmbedding Pip Install FlagEmbedding
- Implementation:Apache Hudi SchemaEvolvingRowDataProjection Project
- Implementation:Ggml org Ggml Download ggml model
Heuristics
- Heuristic:LLMBook zh LLMBook zh github io Deduplication Ngram Threshold
- Heuristic:Sgl project Sglang Attention Backend Selection
- Heuristic:Diagram of thought Diagram of thought Typed Records For Auditability
- Heuristic:Alibaba ROLL GPU Memory Offload Strategy
- Heuristic:Rapidsai Cuml Batch Size Memory Tradeoff
- Heuristic:Recommenders team Recommenders SAR Cold Start Items
- Heuristic:Openai Openai python Fine Tuning Data Preparation Tips
- Heuristic:Promptfoo Promptfoo Transient Error Classification
- Heuristic:NVIDIA NeMo Curator Semantic Dedup Cluster Sizing
- Heuristic:Lance format Lance Warning Deprecated Java APIs
Environments
- Environment:Mistralai Client python Azure Deployment Environment
- Environment:Anthropics Anthropic sdk python Python SDK Core Environment
- Environment:FlowiseAI Flowise Docker Environment
- Environment:Sgl project Sglang GitHub Actions
- Environment:Helicone Helicone Cloudflare Workers Runtime
- Environment:Microsoft LoRA NLG Eval External Tools
- Environment:Google deepmind Mujoco MJX JAX Environment
- Environment:Sgl project Sglang CPU
- Environment:Speechbrain Speechbrain Speech Enhancement Dependencies
- Environment:Eric mitchell Direct preference optimization PyTorch CUDA