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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:Speechbrain Speechbrain Speech Enhancement Training
- Workflow:Facebookresearch Audiocraft MusicGen Text To Music Inference
- Workflow:Deepset ai Haystack Extractive QA Pipeline
- Workflow:Lucidrains X transformers Encoder Decoder Sequence to Sequence
- Workflow:Apache Shardingsphere Shadow Rule Configuration
- Workflow:EvolvingLMMs Lab Lmms eval Custom Model Integration
- Workflow:SeleniumHQ Selenium Contributor Development Workflow
- Workflow:Mlc ai Web llm Text Embeddings And RAG
- Workflow:Kubeflow Pipelines XGBoost Training Pipeline
- Workflow:Nightwatchjs Nightwatch Programmatic API Usage
Principles
- Principle:Protectai Llm guard Sentiment Analysis
- Principle:Ollama Ollama GGUF Model Conversion Gemma3
- Principle:OpenGVLab InternVL LLaVA Multimodal Architecture
- Principle:Dagster io Dagster Materialization Metadata
- Principle:Romsto Speculative Decoding Logits Processing
- Principle:Pytorch Serve Documentation Generation
- Principle:Sdv dev SDV Diagnostic Reporting
- Principle:Testtimescaling Testtimescaling github io Taxonomy Classification
- Principle:Apache Shardingsphere SQL Statement Interception
- Principle:Langgenius Dify Workflow Publishing
Implementations
- Implementation:Neuml Txtai Console
- Implementation:Interpretml Interpret LogLossBinaryObjective
- Implementation:Openai Openai python BaseModel Validation
- Implementation:OpenGVLab InternVL MPT Model
- Implementation:ArroyoSystems Arroyo Avro Schema Converter
- Implementation:Astronomer Astronomer cosmos ClickhouseUserPasswordProfileMapping
- Implementation:Mlc ai Mlc llm Phi Templates
- Implementation:FlagOpen FlagEmbedding BGE Finetune Modeling
- Implementation:Teamcapybara Capybara Spec Has Select
- Implementation:NVIDIA NeMo Curator ImageFilterBase
Heuristics
- Heuristic:Huggingface Transformers Gradient Checkpointing Memory Tradeoff
- Heuristic:OpenBMB UltraFeedback Score Parsing Robustness
- Heuristic:Avdvg InjectGuard Module Level Initialization
- Heuristic:Helicone Helicone Anthropic Cache Double Count Prevention
- Heuristic:Eric mitchell Direct preference optimization Activation Checkpointing Memory
- Heuristic:Dagster io Dagster Batch Size Tuning
- Heuristic:Scikit learn Scikit learn Data Leakage Prevention
- Heuristic:Mlc ai Web llm KV Cache Window Configuration
- Heuristic:Snorkel team Snorkel Minimum Three LFs
- Heuristic:LLMBook zh LLMBook zh github io IGNORE INDEX Loss Masking
Environments
- Environment:Bentoml BentoML NVIDIA GPU Resource
- Environment:Google deepmind Mujoco C Build Environment
- Environment:Iamhankai Forest of Thought Python CUDA Runtime
- Environment:Huggingface Diffusers Quantization Environment
- Environment:Ollama Ollama CGo Runtime
- Environment:Lakeraai Pint benchmark Python 310 With Pandas
- Environment:Vllm project Vllm AArch64 CPU
- Environment:Risingwavelabs Risingwave Docker Deployment Environment
- Environment:Sktime Pytorch forecasting Matplotlib Plotting Dependencies
- Environment:Guardrails ai Guardrails Python 3 10 Runtime