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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:Kubeflow Pipelines Pipeline Control Flow
- Workflow:Helicone Helicone Local Development Setup
- Workflow:Ollama Ollama Safetensors To GGUF Conversion
- Workflow:InternLM Lmdeploy VLM Inference Pipeline
- Workflow:NVIDIA TransformerEngine Accelerate HF Gemma With TE
- Workflow:CrewAIInc CrewAI Flow Based Orchestration
- Workflow:Cleanlab Cleanlab Classification Label Issue Detection
- Workflow:Microsoft Playwright Codegen test recording
- Workflow:Bentoml BentoML Service Definition And Local Serving
- Workflow:PrefectHQ Prefect Per Worker Task Concurrency
Principles
- Principle:DistrictDataLabs Yellowbrick Dataset Management
- Principle:Spotify Luigi Cloud Data Targets
- Principle:Eventual Inc Daft API Boundary Protection
- Principle:ARISE Initiative Robosuite Composite Object Construction
- Principle:HKUDS AI Trader Agent Configuration
- Principle:Princeton nlp SimPO Preference Optimization
- Principle:Farama Foundation Gymnasium Reward Transformation
- Principle:Deepspeedai DeepSpeed Pipeline Layer Specification
- Principle:Getgauge Taiko Gauge Step Implementation
- Principle:Open compass VLMEvalKit Benchmark Dataset Construction
Implementations
- Implementation:Lance format Lance Plan Compaction
- Implementation:Langgenius Dify Gen Doc Paths
- Implementation:SeleniumHQ Selenium Bazel Build Grid
- Implementation:Fastai Fastbook Pandas Read Csv
- Implementation:MaterializeInc Materialize Helm Chart Version Bump
- Implementation:Kserve Kserve LLMIsvc Quick Install
- Implementation:Dotnet Machinelearning AliasMultinomialRng
- Implementation:CARLA simulator Carla Client Stop Recorder
- Implementation:PacktPublishing LLM Engineers Handbook DatasetGenerator Get Prompts
- Implementation:ArroyoSystems Arroyo Preview Connector
Heuristics
- Heuristic:FlowiseAI Flowise Heap Memory Configuration
- Heuristic:Fede1024 Rust rdkafka Librdkafka Debug Logging
- Heuristic:Pola rs Polars Lazy Over Eager Preference
- Heuristic:ContextualAI HALOs TF32 Matmul Acceleration
- Heuristic:Unstructured IO Unstructured Hi Res Model Configuration
- Heuristic:Treeverse LakeFS Batch Delay Tuning
- Heuristic:Duckdb Duckdb Test Development Guidelines
- Heuristic:Microsoft Playwright Browser Specific Workarounds
- Heuristic:Apache Airflow Memory Management Tips
- Heuristic:Togethercomputer Together python Multipart Upload Strategy
Environments
- Environment:Elevenlabs Elevenlabs python PyAudio
- Environment:Apache Beam Dataflow Streaming Runtime
- Environment:Sktime Pytorch forecasting Optuna Tuning Dependencies
- Environment:TobikoData Sqlmesh BigQuery Connection
- Environment:Elevenlabs Elevenlabs python FFmpeg Mpv
- Environment:Interpretml Interpret Native Libebm Environment
- Environment:Kornia Kornia PyTorch Python Environment
- Environment:OpenHands OpenHands Integration Credentials
- Environment:Mistralai Client python Python SDK Environment
- Environment:Sgl project Sglang CPU Runtime