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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:Apache Beam Local Pipeline Execution
- Workflow:Kubeflow Kubeflow Contributing To Kubeflow
- Workflow:Cleanlab Cleanlab Datalab Dataset Audit
- Workflow:Groq Groq python Text Embedding
- Workflow:Google deepmind Mujoco Simulation benchmarking
- Workflow:Eric mitchell Direct preference optimization Custom Dataset Integration
- Workflow:FlowiseAI Flowise Document Store Ingestion
- Workflow:Intel Ipex llm RAG With LangChain
- Workflow:Microsoft DeepSpeedExamples ZeRO Inference
- Workflow:Treeverse LakeFS External Data Import
Principles
- Principle:Togethercomputer Together python Fine Tuning Job Monitoring
- Principle:Mlc ai Web llm Structured Output Parsing
- Principle:Nautechsystems Nautilus trader Catalog Data Writing
- Principle:Trailofbits Fickling Pickle to AST Conversion
- Principle:Nightwatchjs Nightwatch Page Object Structure
- Principle:Iterative Dvc Data Transfer Execution
- Principle:Zai org CogVideo LLM Image Video Pipeline
- Principle:Helicone Helicone Response Usage Extraction
- Principle:Open compass VLMEvalKit Model Registration
- Principle:DistrictDataLabs Yellowbrick Regularization Tuning
Implementations
- Implementation:Online ml River Metrics SMAPE
- Implementation:Mlc ai Web llm Web Worker Chat Completion
- Implementation:Explodinggradients Ragas Collections StringMetrics Module
- Implementation:Facebookresearch Habitat lab ArticulatedAgentBase
- Implementation:NVIDIA TransformerEngine Ops Fused Backward Linear Add
- Implementation:Hpcaitech ColossalAI RAG ChatBot
- Implementation:Avdvg InjectGuard CSVLoader Load
- Implementation:TobikoData Sqlmesh API Events
- Implementation:ARISE Initiative Robosuite GripperTester
- Implementation:Elevenlabs Elevenlabs python ConversationConfigClientOverrideConfigInput
Heuristics
- Heuristic:Bentoml BentoML Worker Count Strategy
- Heuristic:Hiyouga LLaMA Factory Mixed Precision Training Tips
- Heuristic:Apache Shardingsphere Version Cleanup After Switch
- Heuristic:SeleniumHQ Selenium Cross Binding Consistency Check
- Heuristic:Marker Inc Korea AutoRAG Data Format Requirements
- Heuristic:Spotify Luigi Parameter Propagation Decorators
- Heuristic:Gretelai Gretel synthetics Gumbel Softmax NaN Retry
- Heuristic:Zai org CogVideo Memory Optimization Strategies
- Heuristic:Explodinggradients Ragas Embedding Batch Size Tuning
- Heuristic:Datahub project Datahub Validation Cross API
Environments
- Environment:Turboderp org Exllamav2 CUDA GPU Runtime
- Environment:HKUDS AI Trader Browser Runtime
- Environment:Axolotl ai cloud Axolotl Python Runtime
- Environment:Snorkel team Snorkel PySpark
- Environment:Ggml org Ggml CUDA GPU Environment
- Environment:Bitsandbytes foundation Bitsandbytes Build From Source Environment
- Environment:Apache Airflow Python Runtime Environment
- Environment:Cohere ai Cohere python AWS Integration Dependencies
- Environment:Spotify Luigi Apache Spark
- Environment:Openai Evals Optional Provider APIs