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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:Truera Trulens RAG Evaluation With LangChain
- Workflow:Googleapis Python genai Multimodal Content Generation
- Workflow:Dotnet Machinelearning Binary Classification Pipeline
- Workflow:Dotnet Machinelearning AutoML Experiment
- Workflow:Dotnet Machinelearning Time Series Forecasting
- Workflow:Confident ai Deepeval Component Level LLM Evaluation
- Workflow:Getgauge Taiko Form Interaction Testing
- Workflow:ChenghaoMou Text dedup SimHash Deduplication
- Workflow:Openai Openai python Realtime Conversation
- Workflow:Deepspeedai DeepSpeed Pipeline Parallel Training
Principles
- Principle:Open compass VLMEvalKit Environment Setup
- Principle:Obss Sahi COCO Dataset Loading
- Principle:Huggingface Diffusers Training Configuration
- Principle:Explodinggradients Ragas Experiment Versioning
- Principle:Ucbepic Docetl Prompt Iteration
- Principle:Pyro ppl Pyro Epidemiological Modeling
- Principle:Intel Ipex llm GaLore Gradient Projection
- Principle:Elevenlabs Elevenlabs python Conversational Session
- Principle:PeterL1n BackgroundMattingV2 Coarse matting prediction
- Principle:DevExpress Testcafe Fixture Declaration
Implementations
- Implementation:Evidentlyai Evidently Legacy UI Config
- Implementation:CARLA simulator Carla ActorBlueprint Class
- Implementation:Apache Paimon Lint Python Script
- Implementation:Predibase Lorax Merge Adapters Function
- Implementation:Spotify Luigi DockerTask
- Implementation:Scikit learn Scikit learn BaseEnsemble
- Implementation:Eventual Inc Daft Utils
- Implementation:Princeton nlp SimPO Trainer Save and Evaluate
- Implementation:Langchain ai Langchain BaseMemory
- Implementation:Openai Openai python Validators Framework
Heuristics
- Heuristic:Romsto Speculative Decoding Filler Top K Tuning
- Heuristic:TobikoData Sqlmesh Execution Time Caching
- Heuristic:Microsoft Autogen Parallel Tool Call Safety
- Heuristic:Ollama Ollama VRAM Recovery And Scheduling
- Heuristic:Mbzuai oryx Awesome LLM Post training API Rate Limit Retry Strategy
- Heuristic:PeterL1n BackgroundMattingV2 Data Augmentation Strategy
- Heuristic:Alibaba ROLL KL Coefficient Tuning
- Heuristic:Tencent Ncnn NMS Threshold Tuning
- Heuristic:AnswerDotAI RAGatouille Auto Batch Size For Long Documents
- Heuristic:Mlc ai Mlc llm Optimization Level Selection
Environments
- Environment:Haifengl Smile Native BLAS LAPACK ARPACK
- Environment:SeleniumHQ Selenium Selenium Manager Runtime
- Environment:Intel Ipex llm NPU Cpp Environment
- Environment:Spotify Luigi Apache Spark
- Environment:Puppeteer Puppeteer Configuration Environment Variables
- Environment:Eventual Inc Daft Cloud Storage Credentials
- Environment:Lucidrains X transformers PyTorch CUDA
- Environment:Mlc ai Mlc llm WebGPU Browser Environment
- Environment:Lm sys FastChat SFT Training Environment
- Environment:Sgl project Sglang ROCm