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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:Google deepmind Dm control Multi Agent Soccer Setup
- Workflow:Truera Trulens Snowflake Observability Pipeline
- Workflow:Langchain ai Langchain Tool Calling Structured Output
- Workflow:Vibrantlabsai Ragas Custom Metric Creation
- Workflow:Bitsandbytes foundation Bitsandbytes 4bit QLoRA Inference
- Workflow:Sktime Pytorch forecasting NBeats Univariate Forecasting
- Workflow:Explodinggradients Ragas Metric Prompt Optimization
- Workflow:Webdriverio Webdriverio Component Testing
- Workflow:Mbzuai oryx Awesome LLM Post training Awesome List Curation
- Workflow:Avhz RustQuant Monte Carlo Option Pricing
Principles
- Principle:Openai Openai agents python Bidirectional Handoffs
- Principle:LaurentMazare Tch rs Feature Extraction
- Principle:Snorkel team Snorkel Slice Aware Classification
- Principle:Microsoft Playwright Verify Network Interactions
- Principle:Explodinggradients Ragas DSPy Prompt Optimization
- Principle:Turboderp org Exllamav2 Multi GPU Compatibility
- Principle:Zai org CogVideo Caption Generation
- Principle:Gretelai Gretel synthetics Batch Data Export
- Principle:Confident ai Deepeval Framework Instrumentation
- Principle:Sktime Pytorch forecasting Distribution Loss
Implementations
- Implementation:Getgauge Taiko Intercept
- Implementation:Ollama Ollama WriteManifest
- Implementation:Sgl project Sglang CPU Shared Memory
- Implementation:OpenGVLab InternVL Multimodal Utilities
- Implementation:Vespa engine Vespa Predicate Search Core ABI Spec
- Implementation:Ucbepic Docetl Pipeline Optimize
- Implementation:Arize ai Phoenix PromptVersion Format
- Implementation:PacktPublishing LLM Engineers Handbook DatasetGenerator Generate
- Implementation:Rapidsai Cuml Build Script
- Implementation:Hiyouga LLaMA Factory MoE Config
Heuristics
- Heuristic:ARISE Initiative Robomimic Video Recording Optimization
- Heuristic:Princeton nlp Tree of thought llm Ad Hoc Value Map Scoring
- Heuristic:Huggingface Diffusers VAE Scaling Factors
- Heuristic:Obss Sahi Warning Deprecated Legacy NMS
- Heuristic:Openai Evals Thread Tuning
- Heuristic:LMCache LMCache Health Monitor Thresholds
- Heuristic:Kubeflow Pipelines Component URL Commit SHA Pinning
- Heuristic:Open compass VLMEvalKit SKIP ERR For Graceful Inference
- Heuristic:Huggingface Open r1 Reward Function Tuning
- Heuristic:BerriAI Litellm Batch Size Flush Interval Tuning
Environments
- Environment:Deepspeedai DeepSpeed XPU Environment
- Environment:MaterializeInc Materialize Dbt Materialize Runtime
- Environment:Datahub project Datahub Python 3 10 Ingestion Environment
- Environment:Datahub project Datahub Spark Lineage Environment
- Environment:Huggingface Diffusers PyTorch CUDA Runtime
- Environment:Confident ai Deepeval Python 3 9 Runtime
- Environment:Microsoft LoRA PyTorch CUDA Environment
- Environment:CarperAI Trlx Python Accelerate
- Environment:DataTalksClub Data engineering zoomcamp Kestra Orchestration Environment
- Environment:Groq Groq python Python Groq SDK