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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:Eric mitchell Direct preference optimization Custom Dataset Integration
- Workflow:Microsoft Onnxruntime Train Convert Predict
- Workflow:Allenai Open instruct DPO Preference Tuning
- Workflow:Dagster io Dagster Bluesky Analytics
- Workflow:Groq Groq python Chat Completion
- Workflow:Vespa engine Vespa Linguistics text processing pipeline
- Workflow:Spotify Luigi Spark Processing Pipeline
- Workflow:Microsoft Autogen Swarm Agent Handoff
- Workflow:Arize ai Phoenix Dataset and Experiment Lifecycle
- Workflow:Deepseek ai Janus Autoregressive Image Generation
Principles
- Principle:Trailofbits Fickling Static Safety Analysis
- Principle:Webdriverio Webdriverio Appium Service Lifecycle
- Principle:EvolvingLMMs Lab Lmms eval Baseline Comparison
- Principle:Openai Openai agents python Streamed Result Access
- Principle:Apache Spark Parallel Test Execution
- Principle:Nightwatchjs Nightwatch Results And Reporting
- Principle:Huggingface Datasets XML Dataset Building
- Principle:Dotnet Machinelearning Trial Result Extraction
- Principle:Nautechsystems Nautilus trader Live Trading Node Setup
- Principle:Apache Paimon Data Retrieval
Implementations
- Implementation:Guardrails ai Guardrails Hub Install
- Implementation:Vibrantlabsai Ragas NoiseSensitivityV2
- Implementation:NVIDIA DALI C API V2 Data Objects Tests
- Implementation:CARLA simulator Carla Python Module Entry
- Implementation:Iterative Dvc VegaConverter Convert
- Implementation:Avhz RustQuant Finite Difference Pricer
- Implementation:Datahub project Datahub HdfsPathDataset
- Implementation:Evidentlyai Evidently Legacy Options
- Implementation:Open compass VLMEvalKit Cosmos
- Implementation:Elevenlabs Elevenlabs python WebhookSignatureVerification
Heuristics
- Heuristic:Deepset ai Haystack Pipeline Max Runs Safety Limit
- Heuristic:Duckdb Duckdb Memory Management Rules
- Heuristic:Langfuse Langfuse LLM Rate Limit 24h Abandon
- Heuristic:Fastai Fastbook Embedding Size Rule
- Heuristic:Interpretml Interpret EBM Hyperparameter Tuning Guide
- Heuristic:Hiyouga LLaMA Factory Gradient Checkpointing Memory Optimization
- Heuristic:Facebookresearch Habitat lab Resume State Config Override
- Heuristic:Microsoft Onnxruntime Graph Optimization Level Selection
- Heuristic:Avhz RustQuant Learning Rate Tuning
- Heuristic:Huggingface Open r1 Test Batch Early Termination
Environments
- Environment:Fede1024 Rust rdkafka Rust Librdkafka Build Environment
- Environment:Huggingface Datatrove Python Runtime
- Environment:BerriAI Litellm PostgreSQL Database
- Environment:Eventual Inc Daft Python PyArrow Core
- Environment:AUTOMATIC1111 Stable diffusion webui Python And PyTorch Runtime
- Environment:OpenRLHF OpenRLHF DeepSpeed Environment
- Environment:Vespa engine Vespa Cosign Sigstore Signing
- Environment:MaterializeInc Materialize Kubernetes Helm Runtime
- Environment:Facebookresearch Audiocraft FAD TensorFlow Environment
- Environment:Neuml Txtai GPU Accelerator Detection