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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:Sktime Pytorch forecasting NBeats Univariate Forecasting
- Workflow:Mistralai Client python Text Embeddings
- Workflow:Openai Openai python Image Generation
- Workflow:Mlc ai Web llm Structured Output Generation
- Workflow:Speechbrain Speechbrain Speaker Embedding Training
- Workflow:Mage ai Mage ai API Source Extraction
- Workflow:Apache Beam Local Pipeline Execution
- Workflow:Tencent Ncnn PyTorch Model Conversion and Inference
- Workflow:AnswerDotAI RAGatouille ColBERT Training
- Workflow:Eric mitchell Direct preference optimization SFT Training
Principles
- Principle:Scikit learn contrib Imbalanced learn SVM Borderline Oversampling
- Principle:Risingwavelabs Risingwave Iceberg Catalog Operations
- Principle:Online ml River Online Linear Regression
- Principle:Triton inference server Server Server Launch
- Principle:Puppeteer Puppeteer Dialog Handling
- Principle:DataExpert io Data engineer handbook DataFrame Write To Table
- Principle:FlowiseAI Flowise Dynamic Form Input
- Principle:Farama Foundation Gymnasium Classic Control Environments
- Principle:Openclaw Openclaw Tool Policy Configuration
- Principle:BerriAI Litellm Custom Logger Development
Implementations
- Implementation:Online ml River Tree Splitter SGTQuantizer
- Implementation:Scikit learn Scikit learn ShowVersions
- Implementation:Huggingface Datasets SparkDatasetReader
- Implementation:NVIDIA NeMo Aligner KTOTrainer Fit
- Implementation:Vllm project Vllm LLM Generate Speculative
- Implementation:Google deepmind Mujoco MJX Warp Forward
- Implementation:Speechbrain Speechbrain Prepare Libriheavy
- Implementation:BerriAI Litellm Assistants API
- Implementation:Hpcaitech ColossalAI ExperienceMaker Base
- Implementation:DataTalksClub Data engineering zoomcamp Java JsonKStreamWindow
Heuristics
- Heuristic:Apache Beam Executor Shutdown Ordering
- Heuristic:Gretelai Gretel synthetics Mixed Precision Training Tradeoff
- Heuristic:Unstructured IO Unstructured Strategy Fallback Chain
- Heuristic:Truera Trulens Temperature Zero For Deterministic Scoring
- Heuristic:CARLA simulator Carla Behavior Agent Profiles
- Heuristic:Mit han lab Llm awq AWQ Grid Search Tuning
- Heuristic:HKUDS AI Trader Linear Retry Backoff
- Heuristic:DataTalksClub Data engineering zoomcamp DuckDB OOM Memory Management
- Heuristic:ArroyoSystems Arroyo Async UDF Concurrency
- Heuristic:Shiyu coder Kronos Sampling Temperature Tuning
Environments
- Environment:Iterative Dvc Remote Storage Backends
- Environment:Testtimescaling Testtimescaling github io Python 3 Runtime
- Environment:Bitsandbytes foundation Bitsandbytes ROCm AMD Environment
- Environment:LMCache LMCache NIXL Transfer Library
- Environment:Sdv dev SDV GPU CUDA Support
- Environment:Ollama Ollama GPU Runtime
- Environment:DevExpress Testcafe Node Runtime
- Environment:Mistralai Client python Agents Environment
- Environment:Astronomer Astronomer cosmos Cloud Provider Dependencies
- Environment:OpenRLHF OpenRLHF DeepSpeed Environment