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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:Togethercomputer Together python Batch Inference
- Workflow:Deepspeedai DeepSpeed ZeRO Distributed Training
- Workflow:Speechbrain Speechbrain Text to Speech Training
- Workflow:Microsoft Semantic kernel Vector Store RAG Pipeline
- Workflow:Kornia Kornia Image Feature Matching
- Workflow:Googleapis Python genai Multi Turn Chat
- Workflow:LLMBook zh LLMBook zh github io Supervised Finetuning
- Workflow:Interpretml Interpret Blackbox Model Explanation
- Workflow:Apache Flink Async Sink Lifecycle
- Workflow:Tensorflow Tfjs Pretrained Model Conversion And Inference
Principles
- Principle:Interpretml Interpret Partial Dependence Explanation
- Principle:Junyanz Pytorch CycleGAN and pix2pix Dataset Factory Loading
- Principle:Webdriverio Webdriverio W3C WebDriver Bidi Specification
- Principle:Ggml org Llama cpp State Serialization
- Principle:Fastai Fastbook Latent Factor Model
- Principle:Interpretml Interpret Linear Model Explanation
- Principle:Marker Inc Korea AutoRAG Corpus Ingestion
- Principle:Apache Flink Async Sink Configuration
- Principle:Vespa engine Vespa Initial Configuration Fetch
- Principle:Ggml org Llama cpp GGUF File Operations
Implementations
- Implementation:Cypress io Cypress OTLPTraceExporter
- Implementation:Infiniflow Ragflow DatasetCommonItem Component
- Implementation:OpenBMB UltraFeedback Score Correction Pipeline
- Implementation:Hpcaitech ColossalAI DatasetEvaluator
- Implementation:Openai Openai node EventStream
- Implementation:Google deepmind Dm control Suite Humanoid CMU
- Implementation:ClickHouse ClickHouse Clickhouse Test Runner
- Implementation:NVIDIA DALI Sphinx Config
- Implementation:Pola rs Polars Polars Python Cargo Config
- Implementation:Kserve Kserve InferenceService CRD Spec
Heuristics
- Heuristic:Deepspeedai DeepSpeed FP16 Convergence Tips
- Heuristic:Sktime Pytorch forecasting Early Stopping Patience
- Heuristic:Avdvg InjectGuard Sim K Threshold Tuning
- Heuristic:OpenBMB UltraFeedback API Retry Strategy
- Heuristic:Microsoft Onnxruntime Graph Optimization Level Selection
- Heuristic:Princeton nlp SimPO Left Truncation Strategy
- Heuristic:Astronomer Astronomer cosmos Cache Strategy Optimization
- Heuristic:Facebookresearch Habitat lab VER Tuning Guidelines
- Heuristic:Scikit learn Scikit learn N Jobs Parallelism Tips
- Heuristic:Datahub project Datahub Emitter Selection Strategy
Environments
- Environment:OpenBMB UltraFeedback HuggingFace Hub Environment
- Environment:Huggingface Transformers Flash Attention 2 Env
- Environment:Unslothai Unsloth CUDA VLLM
- Environment:Rapidsai Cuml Python RAPIDS Stack
- Environment:Ollama Ollama GPU Runtime
- Environment:ArroyoSystems Arroyo Webui Runtime
- Environment:InternLM Lmdeploy Python Dependencies
- Environment:Mistralai Client python Azure Deployment Environment
- Environment:Huggingface Optimum Tensor Parallelization Environment
- Environment:ARISE Initiative Robomimic HuggingFace Hub Dependencies