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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:Confident ai Deepeval LLM Tracing and Observability
- Workflow:DataTalksClub Data engineering zoomcamp dbt Analytics Transformation
- Workflow:Anthropics Anthropic sdk python Tool Use Integration
- Workflow:Deepspeedai DeepSpeed Pipeline Parallel Training
- Workflow:Scikit learn Scikit learn Cross Validation Evaluation
- Workflow:Microsoft Playwright End to end test authoring
- Workflow:Explodinggradients Ragas Agent Evaluation
- Workflow:Zai org CogVideo Video Captioning
- Workflow:Diagram of thought Diagram of thought DoT Prompt Customization
- Workflow:ChenghaoMou Text dedup MinHash LSH Deduplication
Principles
- Principle:Infiniflow Ragflow Search Filtering
- Principle:Wandb Weave Pre release Validation
- Principle:AUTOMATIC1111 Stable diffusion webui Webui Global State Management
- Principle:Apache Shardingsphere Configuration Change Initiation
- Principle:Togethercomputer Together python Model Download
- Principle:Trailofbits Fickling Static Safety Analysis
- Principle:Openai Evals Custom Eval Implementation
- Principle:Marker Inc Korea AutoRAG Node Line Execution
- Principle:Webdriverio Webdriverio Custom Reporter Development
- Principle:Speechbrain Speechbrain LibriTTS Data Preparation
Implementations
- Implementation:Apache Druid ConsoleEntry
- Implementation:Sgl project Sglang CPU MoE INT8
- Implementation:Vespa engine Vespa Linguistics Components ABI Spec
- Implementation:Scikit learn Scikit learn MinCovDet
- Implementation:Triton inference server Server DataCompressor
- Implementation:NVIDIA NeMo Aligner Train SteerLM2
- Implementation:Pytorch Serve Accelerate Handler
- Implementation:Openai Evals HumanCliSolver
- Implementation:DevExpress Testcafe Reporter Plugin System
- Implementation:Turboderp org Exllamav2 WebSocket Actions
Heuristics
- Heuristic:Apache Dolphinscheduler HikariCP Pool Tuning
- Heuristic:Microsoft BIPIA Torch Compile Platform Guard
- Heuristic:Nightwatchjs Nightwatch Warning Deprecated API Members
- Heuristic:DataExpert io Data engineer handbook Flink Checkpointing Interval Tuning
- Heuristic:NVIDIA NeMo Aligner DPO Sequence Packing Tips
- Heuristic:Volcengine Verl FSDP Mixed Precision Init
- Heuristic:Huggingface Datatrove MinHash Parameter Tuning
- Heuristic:Infiniflow Ragflow Embedding Batch Size Constraint
- Heuristic:Axolotl ai cloud Axolotl Gradient Checkpointing Reentrant Rules
- Heuristic:Isaac sim IsaacGymEnvs GPU Pipeline Selection
Environments
- Environment:Rapidsai Cuml Dask Distributed
- Environment:PrefectHQ Prefect AI Integration Credentials
- Environment:EvolvingLMMs Lab Lmms eval Python Runtime Environment
- Environment:SeldonIO Seldon core Kafka Messaging Environment
- Environment:MarketSquare Robotframework browser Node Runtime
- Environment:Apache Spark Python Environment
- Environment:Mistralai Client python Realtime Transcription Environment
- Environment:Vllm project Vllm CUDA Runtime
- Environment:Dagster io Dagster GRPC Communication
- Environment:Allenai Open instruct CUDA GPU Training