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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:Iterative Dvc Plot Visualization
- Workflow:Risingwavelabs Risingwave Docker Deployment
- Workflow:Neuml Txtai Semantic Search
- Workflow:Alibaba ROLL DPO Training Pipeline
- Workflow:OpenGVLab InternVL Preference Optimization
- Workflow:Bentoml BentoML Multi Model Composition
- Workflow:Openai Evals Implementing a custom completion function
- Workflow:Ggml org Llama cpp Model Quantization
- Workflow:Datahub project Datahub Spark Lineage Capture
- Workflow:Apache Spark Application Submission
Principles
- Principle:EvolvingLMMs Lab Lmms eval HTTP API Model Serving
- Principle:ARISE Initiative Robosuite Camera Projection Utilities
- Principle:Google deepmind Dm control Manipulation Visualization
- Principle:Fastai Fastbook Model Interpretation
- Principle:Getgauge Taiko Gauge Step Implementation
- Principle:Ollama Ollama Model Quantization
- Principle:OWASP Www project top 10 for large language model applications Automated Vulnerability Scanning
- Principle:Iterative Dvc Execution Order Planning
- Principle:Pola rs Polars Multi Format Data Reading
- Principle:Google deepmind Mujoco Sparse Computation
Implementations
- Implementation:Explodinggradients Ragas RankingMetric Class
- Implementation:Online ml River Metrics Accuracy
- Implementation:Mit han lab Llm awq WQLinear from linear
- Implementation:Online ml River NaiveBayes ComplementNB
- Implementation:Eventual Inc Daft DataFrame Show
- Implementation:Openai Openai python Response Reasoning Summary Text Delta
- Implementation:Google deepmind Mujoco Engine Init
- Implementation:Online ml River Compat RiverToSklearn
- Implementation:NVIDIA NeMo Curator RayDataStageAdapter
- Implementation:Cohere ai Cohere python EmbedJob Model
Heuristics
- Heuristic:Cypress io Cypress Global Install Warning
- Heuristic:ThreeSR Awesome Inference Time Scaling API Rate Limiting Tip
- Heuristic:Intel Ipex llm DeepSpeed Tensor Parallel Tips
- Heuristic:Microsoft Semantic kernel Telemetry Log Level Configuration
- Heuristic:Eric mitchell Direct preference optimization TF32 Matmul Precision
- Heuristic:Langchain ai Langchain Error Context Preservation
- Heuristic:Princeton nlp Tree of thought llm Global State Token Counting
- Heuristic:PeterL1n BackgroundMattingV2 ONNX Patch Method Compatibility
- Heuristic:NVIDIA NeMo Curator Semantic Dedup Cluster Sizing
- Heuristic:TobikoData Sqlmesh Model Change Categorization
Environments
- Environment:Huggingface Peft GPU Hardware Detection
- Environment:Langgenius Dify Docker Deployment Environment
- Environment:Openai CLIP PyTorch CUDA Runtime
- Environment:Apache Spark Release Build Environment
- Environment:Explodinggradients Ragas Python Runtime Environment
- Environment:Speechbrain Speechbrain Speech Enhancement Dependencies
- Environment:ARISE Initiative Robomimic PyTorch CUDA Environment
- Environment:Bentoml BentoML NVIDIA GPU Resource
- Environment:MarketSquare Robotframework browser Node Runtime
- Environment:Truera Trulens LangChain LangGraph Environment