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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:Protectai Llm guard PII Anonymization Deanonymization
- Workflow:Bitsandbytes foundation Bitsandbytes 8bit Optimizer Training
- Workflow:Apache Druid SQL Based Data Ingestion
- Workflow:TA Lib Ta lib python Streaming Indicator Computation
- Workflow:MaterializeInc Materialize Integration Test Development
- Workflow:Spotify Luigi Local Batch Pipeline
- Workflow:Puppeteer Puppeteer Web Scraping And Interaction
- Workflow:FMInference FlexLLMGen Data Wrangling Batch Inference
- Workflow:Microsoft Playwright Trace recording and debugging
- Workflow:Alibaba MNN Model Compression
Principles
- Principle:Infiniflow Ragflow Chat Application Creation
- Principle:Cypress io Cypress Test Runner Launch
- Principle:Mlflow Mlflow Release Automation
- Principle:Langchain ai Langgraph SDK Error Handling
- Principle:ClickHouse ClickHouse Server Health Verification
- Principle:Norrrrrrr lyn WAInjectBench Per File Text Detection
- Principle:LaurentMazare Tch rs C FFI Bridge
- Principle:Cohere ai Cohere python Streaming Chat Request
- Principle:OpenHands OpenHands Middleware Configuration
- Principle:Cleanlab Cleanlab Issue Reporting
Implementations
- Implementation:Turboderp org Exllamav2 ExLlamaV2MoEMLP
- Implementation:Danijar Dreamerv3 RandomAgent
- Implementation:Mage ai Mage ai Buildkite ECS Deploy
- Implementation:Iterative Dvc Utils Table
- Implementation:Scikit learn Scikit learn Make Column Selector
- Implementation:Mit han lab Llm awq InternVL Media Processing
- Implementation:Allenai Open instruct PolicyTrainerRayProcess
- Implementation:Junyanz Pytorch CycleGAN and pix2pix ImagePool Query
- Implementation:Apache Paimon InternalRow
- Implementation:Microsoft Autogen Studio Datamodel Pydantic Types
Heuristics
- Heuristic:Dagster io Dagster Record Over Dataclass
- Heuristic:Spotify Luigi PySpark Task Serialization
- Heuristic:Google deepmind Mujoco MJX Benchmarking Tips
- Heuristic:Bitsandbytes foundation Bitsandbytes CuBLAS Int8 Dimension Alignment
- Heuristic:Mistralai Client python Stream File Uploads
- Heuristic:Langchain ai Langchain Error Context Preservation
- Heuristic:Langgenius Dify Workflow Draft Hash Sync
- Heuristic:Pyro ppl Pyro Guide Initialization Strategy
- Heuristic:Dagster io Dagster Mandatory Ruff Formatting
- Heuristic:Bentoml BentoML Warning Deprecated Legacy Service
Environments
- Environment:TobikoData Sqlmesh Python Runtime
- Environment:Apache Flink Hadoop Compatibility Environment
- Environment:Helicone Helicone Python ClickHouse Migrations
- Environment:Princeton nlp SimPO CUDA Training
- Environment:Predibase Lorax CUDA GPU Runtime
- Environment:NVIDIA DALI PyTorch Environment
- Environment:Duckdb Duckdb Release Publishing Env
- Environment:Google research Deduplicate text datasets Python HuggingFace Environment
- Environment:Turboderp org Exllamav2 CUDA GPU Runtime
- Environment:Microsoft BIPIA OpenAI API Environment