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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:Evidentlyai Evidently LLM Evaluation Monitoring
- Workflow:Treeverse LakeFS S3 Gateway Integration
- Workflow:InternLM Lmdeploy VLM Inference Pipeline
- Workflow:SeldonIO Seldon core Inference Pipeline
- Workflow:InternLM Lmdeploy W8A8 SmoothQuant Quantization
- Workflow:Nightwatchjs Nightwatch Cucumber BDD Integration
- Workflow:Microsoft Autogen Graph Based Agent Orchestration
- Workflow:Zai org CogVideo Diffusers Image to Video Inference
- Workflow:Haosulab ManiSkill Imitation Learning Pipeline
- Workflow:Google deepmind Mujoco Simulation benchmarking
Principles
- Principle:FMInference FlexLLMGen Model Compression Configuration
- Principle:Tensorflow Tfjs Layer API Surface
- Principle:Zai org CogVideo Diffusion Sampling
- Principle:Run llama Llama index Pipeline Execution
- Principle:Trailofbits Fickling Safety Verification
- Principle:Allenai Open instruct Model Publishing
- Principle:Danijar Dreamerv3 Random Baseline Agent
- Principle:Haosulab ManiSkill Environment Testing
- Principle:Lance format Lance Time Travel Queries
- Principle:Zai org CogVideo PatchGAN Discriminator
Implementations
- Implementation:Guardrails ai Guardrails Hub Token
- Implementation:Datajuicer Data juicer RemoveBibliographyMapper
- Implementation:Microsoft Playwright CssTokenizer
- Implementation:FlowiseAI Flowise WorkspaceUsers
- Implementation:Microsoft Autogen MagenticOne Orchestrator
- Implementation:Ggml org Llama cpp CLIP Impl
- Implementation:Ggml org Llama cpp Ngram Map Header
- Implementation:Openai Whisper Transcribe Timestamp Parsing
- Implementation:Open compass VLMEvalKit SiliconFlowAPI
- Implementation:SeleniumHQ Selenium WebAuthn Credential
Heuristics
- Heuristic:Scikit learn contrib Imbalanced learn KNeighbors Selection Tips
- Heuristic:Microsoft Semantic kernel Function Choice Behavior Selection
- Heuristic:Turboderp org Exllamav2 Quantization Conversion Tips
- Heuristic:Vespa engine Vespa Maven Parallel Build Optimization
- Heuristic:Fastai Fastbook Weight Decay Tuning
- Heuristic:Eventual Inc Daft Delta Lake S3 Locking
- Heuristic:Bitsandbytes foundation Bitsandbytes Compressed Statistics Double Quantization
- Heuristic:Cleanlab Cleanlab Label Quality Scoring Method Selection
- Heuristic:Togethercomputer Together python Fine Tuning Parameter Validation
- Heuristic:Webdriverio Webdriverio Mobile Platform Differences
Environments
- Environment:Langgenius Dify Vector Database Environment
- Environment:Datajuicer Data juicer Ray Cluster Environment
- Environment:Interpretml Interpret Python Core Environment
- Environment:Cypress io Cypress Browser Requirements
- Environment:Datajuicer Data juicer GPU CUDA Environment
- Environment:Langgenius Dify Redis And Celery Environment
- Environment:Apache Dolphinscheduler Netty Runtime
- Environment:Datajuicer Data juicer LLM API Credentials Environment
- Environment:Marker Inc Korea AutoRAG VLLM Environment
- Environment:Cleanlab Cleanlab Image Quality Dependencies