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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:BerriAI Litellm Response Caching
- Workflow:LMCache LMCache Disaggregated Prefill
- Workflow:Eventual Inc Daft Distributed UDF Processing
- Workflow:Google deepmind Dm control Composer Environment Building
- Workflow:Haotian liu LLaVA LoRA Finetuning
- Workflow:DevExpress Testcafe CI Integration
- Workflow:MarketSquare Robotframework browser JavaScript Extension
- Workflow:Ray project Ray Build and Release Pipeline
- Workflow:Ollama Ollama Custom Model Creation
- Workflow:InternLM Lmdeploy LLM Offline Batch Inference
Principles
- Principle:HKUDS AI Trader Price Data Fetching
- Principle:LaurentMazare Tch rs Transformer Architecture
- Principle:Gretelai Gretel synthetics LSTM Model Training
- Principle:Ray project Ray Autoscaling And Monitoring
- Principle:Kserve Kserve Prefill Decode Specification
- Principle:SeldonIO Seldon core Model Explainability Integration
- Principle:Openai Openai node Schema To JSON Conversion
- Principle:Speechbrain Speechbrain Transformer ASR Training
- Principle:Haifengl Smile Model Serialization
- Principle:Langgenius Dify Indexing Progress Monitoring
Implementations
- Implementation:Eventual Inc Daft Daft Cls
- Implementation:Hiyouga LLaMA Factory WebUI Control
- Implementation:Mage ai Mage ai Source Process
- Implementation:Huggingface Datasets Sharding Utils
- Implementation:Junyanz Pytorch CycleGAN and pix2pix Save Images
- Implementation:Ucbepic Docetl FastShouldOptimize
- Implementation:Mage ai Mage ai Destination Export Batch Data
- Implementation:Datajuicer Data juicer EventLoggingMixin CheckpointManager
- Implementation:Guardrails ai Guardrails AsyncValidatorService
- Implementation:Lance format Lance JNI BlockingScanner
Heuristics
- Heuristic:Spotify Luigi Streaming MapReduce Processing
- Heuristic:Hiyouga LLaMA Factory LoRA DDP Configuration
- Heuristic:Zai org CogVideo BF16 FP16 Precision Selection
- Heuristic:Mlc ai Mlc llm Metal KV Cache Capacity Limit
- Heuristic:Speechbrain Speechbrain Dynamic Mixing Parameters
- Heuristic:Huggingface Transformers Mixed Precision Training Selection
- Heuristic:Astronomer Astronomer cosmos Deprecation Migration Paths
- Heuristic:Apache Airflow Variable Access Pattern
- Heuristic:Triton inference server Server Documentation Standards
- Heuristic:Turboderp org Exllamav2 Attention Backend Selection
Environments
- Environment:Confident ai Deepeval Python 3 9 Runtime
- Environment:Google deepmind Dm control Python MuJoCo Runtime
- Environment:Vllm project Vllm Environment Variables
- Environment:Onnx Onnx Python Runtime Environment
- Environment:PacktPublishing LLM Engineers Handbook AWS SageMaker GPU Environment
- Environment:Openai Openai agents python LiteLLM Dependencies
- Environment:Roboflow Rf detr Python GPU Environment
- Environment:Huggingface Diffusers PyTorch CUDA Runtime
- Environment:Pyro ppl Pyro Visualization Tools
- Environment:DataExpert io Data engineer handbook Spark Iceberg Docker Environment