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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:Nautechsystems Nautilus trader Live trading deployment
- Workflow:Langchain ai Langchain Tool Calling Structured Output
- Workflow:Lucidrains X transformers DPO Preference Alignment
- Workflow:Danijar Dreamerv3 Evaluation Only
- Workflow:DistrictDataLabs Yellowbrick Classification Model Evaluation
- Workflow:Sktime Pytorch forecasting TFT Demand Forecasting
- Workflow:Hpcaitech ColossalAI Supervised Finetuning
- Workflow:Huggingface Transformers Model Quantization
- Workflow:ARISE Initiative Robosuite Domain Randomization Training
- Workflow:Teamcapybara Capybara RSpec Integration Setup
Principles
- Principle:Togethercomputer Together python Image Generation Request
- Principle:Volcengine Verl Reward Configuration Schema
- Principle:TobikoData Sqlmesh Ongoing Interval Processing
- Principle:CrewAIInc CrewAI Tool Assignment
- Principle:Ggml org Llama cpp Unicode
- Principle:Interpretml Interpret LIME Tabular Explanation
- Principle:CrewAIInc CrewAI Direct Knowledge Querying
- Principle:Rapidsai Cuml Clustering Algorithm Configuration
- Principle:Datahub project Datahub Java Client Initialization
- Principle:HKUDS AI Trader Trading Outcome Recording
Implementations
- Implementation:Bentoml BentoML Request Context
- Implementation:Apache Paimon DataTypeVisitor
- Implementation:ARISE Initiative Robomimic ConfigGenerator
- Implementation:Langgenius Dify Format Utils
- Implementation:Mlc ai Mlc llm Attention Op
- Implementation:Lucidrains X transformers DPO Policy Model Evaluation
- Implementation:Langchain ai Langgraph Internal Runnable
- Implementation:Anthropics Anthropic sdk python ParsedBetaMessage
- Implementation:FlowiseAI Flowise AgentflowMarketplaceCanvas
- Implementation:Langgenius Dify Navigation Utils
Heuristics
- Heuristic:Arize ai Phoenix Environment Variable Precedence
- Heuristic:Run llama Llama index Worker Count Configuration
- Heuristic:Microsoft Autogen Name Uniqueness Constraints
- Heuristic:Huggingface Alignment handbook QLoRA Learning Rate Scaling
- Heuristic:MarketSquare Robotframework browser Docker Chrome Security
- Heuristic:Ggml org Llama cpp Warning Deprecated Legacy Converters
- Heuristic:Evidentlyai Evidently Statistical Test Auto Selection
- Heuristic:Microsoft LoRA Scaling Factor Alpha Over R
- Heuristic:Huggingface Open r1 Reward Function Tuning
- Heuristic:Fastai Fastbook Progressive Resizing
Environments
- Environment:Datajuicer Data juicer Python Runtime Environment
- Environment:Confident ai Deepeval LLM Provider Credentials
- Environment:Recommenders team Recommenders Python Core Dependencies
- Environment:Mlfoundations Open flamingo PyTorch CUDA Distributed
- Environment:Alibaba MNN GPU Metal Environment
- Environment:Huggingface Diffusers Attention Backends
- Environment:Treeverse LakeFS Spark GC Environment
- Environment:SeldonIO Seldon core Go Build Toolchain Environment
- Environment:Ucbepic Docetl LLM API Keys
- Environment:Mistralai Client python Python SDK Environment