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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:Langchain ai Langgraph ReAct Agent Creation
- Workflow:TobikoData Sqlmesh Plan and apply deployment
- Workflow:DevExpress Testcafe CI Integration
- Workflow:Apache Spark Kubernetes Deployment
- Workflow:Pyro ppl Pyro MCMC Inference
- Workflow:Openai CLIP Prompt engineered classification
- Workflow:Pola rs Polars DataFrame Aggregation and Grouping
- Workflow:FMInference FlexLLMGen Text Completion API
- Workflow:Sgl project Sglang Online Serving With OpenAI API
- Workflow:Snorkel team Snorkel Multitask Classification
Principles
- Principle:Explodinggradients Ragas Prompt Persistence
- Principle:CrewAIInc CrewAI Flow Class Definition
- Principle:LaurentMazare Tch rs Seq2Seq Attention Translation
- Principle:Pyro ppl Pyro MCMC Convergence Diagnostics
- Principle:Pytorch Serve LLM Text Generation
- Principle:Langchain ai Langgraph Checkpoint Encryption
- Principle:MaterializeInc Materialize Source and Model Definition
- Principle:ClickHouse ClickHouse Banned Function Enforcement
- Principle:Pola rs Polars Expression Pipeline Building
- Principle:Junyanz Pytorch CycleGAN and pix2pix Pretrained Model Download
Implementations
- Implementation:Microsoft Onnxruntime CPU PoolGrad
- Implementation:Deepspeedai DeepSpeed InferenceEngine Forward
- Implementation:Open compass VLMEvalKit RBdashMMChat3 78B Wrapper
- Implementation:Kserve Kserve Alibi Parser
- Implementation:Turboderp org Exllamav2 ExLlamaV2ParallelDecoder
- Implementation:Volcengine Verl Multimodal Rollout Request
- Implementation:OpenHands OpenHands UserStore Get User By Id Async
- Implementation:Kubeflow Pipelines Load Component From URL
- Implementation:FlowiseAI Flowise UpsertHistoryDialog
- Implementation:ARISE Initiative Robosuite BaxterRobot
Heuristics
- Heuristic:Google deepmind Dm control Tolerance Reward Tuning
- Heuristic:Romsto Speculative Decoding Gamma Tuning
- Heuristic:Roboflow Rf detr EMA Best Checkpoint Strategy
- Heuristic:Zai org CogVideo CPU Offload Strategy
- Heuristic:Turboderp org Exllamav2 Dynamic Generator Tuning
- Heuristic:Microsoft Agent framework PowerFx Python Version Limit
- Heuristic:Ray project Ray Serve Concurrency And Backpressure
- Heuristic:SqueezeAILab ETS Max Depth And Token Guards
- Heuristic:Kserve Kserve NCCL RoCE Auto Detection
- Heuristic:Triton inference server Server Model Instance Scaling
Environments
- Environment:MarketSquare Robotframework browser Python Runtime
- Environment:MaterializeInc Materialize Dbt Materialize Runtime
- Environment:DataTalksClub Data engineering zoomcamp Docker PostgreSQL Python Environment
- Environment:Apache Airflow Docker Container Environment
- Environment:Huggingface Datasets Search Dependencies
- Environment:Sail sg LongSpec Training Environment
- Environment:NVIDIA NeMo Aligner NeMo Framework GPU Environment
- Environment:Bigscience workshop Petals CUDA Server
- Environment:Helicone Helicone Cloudflare Workers Runtime
- Environment:Obss Sahi Python Detection Frameworks