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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:Guardrails ai Guardrails LLM Output Validation
- Workflow:Microsoft Semantic kernel Vector Store RAG Pipeline
- Workflow:Facebookresearch Audiocraft MusicGen Text To Music Inference
- Workflow:Snorkel team Snorkel Weak Supervision Pipeline
- Workflow:Mistralai Client python OCR Document Processing
- Workflow:Microsoft Autogen Graph Based Agent Orchestration
- Workflow:AUTOMATIC1111 Stable diffusion webui Text to image generation
- Workflow:LaurentMazare Tch rs Pretrained Image Classification
- Workflow:Bigscience workshop Petals Distributed Text Generation
- Workflow:Apache Kafka Coordinator Runtime Lifecycle
Principles
- Principle:Interpretml Interpret LIME Tabular Explanation
- Principle:Facebookresearch Audiocraft Compression Model Export
- Principle:Mlc ai Mlc llm MLC Configuration Generation
- Principle:Getgauge Taiko Page Screenshot
- Principle:Pyro ppl Pyro Custom Distribution Framework
- Principle:AUTOMATIC1111 Stable diffusion webui Network weight patching
- Principle:FlagOpen FlagEmbedding Auto Embedding Model Loading
- Principle:Arize ai Phoenix OTel Dependency Setup
- Principle:Apache Shardingsphere Federation Metadata Refresh
- Principle:Iterative Dvc Data Transfer Execution
Implementations
- Implementation:Apache Druid HelperTable
- Implementation:DistrictDataLabs Yellowbrick RadViz Visualizer
- Implementation:Protectai Llm guard Output LanguageSame
- Implementation:Facebookresearch Audiocraft JASCO set generation params
- Implementation:Mage ai Mage ai Google Ads Streams
- Implementation:Intel Ipex llm vLLM API Server
- Implementation:Tensorflow Serving Aspired Versions Manager Benchmark
- Implementation:Ggml org Ggml Cann backend
- Implementation:Huggingface Optimum TokenClassificationProcessing
- Implementation:Vllm project Vllm LLM Get Metrics
Heuristics
- Heuristic:NVIDIA NeMo Aligner Higher Stability Log Probs
- Heuristic:Mlc ai Web llm Service Worker Keep Alive
- Heuristic:Neuml Txtai Llama Cpp Context Fallback
- Heuristic:LMCache LMCache Memory Fragmentation Budget
- Heuristic:OpenGVLab InternVL Loss Reduction Strategy
- Heuristic:Eventual Inc Daft Runner Selection Guide
- Heuristic:Predibase Lorax Flash Attention Backend Selection
- Heuristic:OpenGVLab InternVL Packed Training Buffer Management
- Heuristic:Datajuicer Data juicer Operator Fusion Rules
- Heuristic:Fede1024 Rust rdkafka Main Queue Poll Interval
Environments
- Environment:LMCache LMCache VLLM Serving Engine
- Environment:PacktPublishing LLM Engineers Handbook AWS SageMaker GPU Environment
- Environment:Fastai Fastbook Sklearn Environment
- Environment:Mlc ai Web llm WebGPU Browser Runtime
- Environment:Recommenders team Recommenders GPU CUDA Environment
- Environment:SeldonIO Seldon core GPU Inference Environment
- Environment:Huggingface Trl Quantization Environment
- Environment:Farama Foundation Gymnasium Python 3 10 Runtime
- Environment:Datahub project Datahub Python 3 10 Ingestion Environment
- Environment:MaterializeInc Materialize Dbt Materialize Runtime