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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:Huggingface Diffusers ControlNet Guided Generation
- Workflow:Mlc ai Mlc llm REST API Serving
- Workflow:Onnx Onnx Model Composition
- Workflow:OWASP Www project top 10 for large language model applications Vulnerability Translation
- Workflow:Mistralai Client python OCR Document Processing
- Workflow:Guardrails ai Guardrails Custom Validator Development
- Workflow:BerriAI Litellm Proxy Server Deployment
- Workflow:Langchain ai Langchain Adding Partner Integration
- Workflow:PacktPublishing LLM Engineers Handbook Feature Engineering
- Workflow:ARISE Initiative Robosuite Human Demonstration Collection
Principles
- Principle:Tensorflow Tfjs Pretrained Weight Loading
- Principle:Huggingface Datatrove JSONL Data Reading
- Principle:Cohere ai Cohere python Batch Embedding Jobs
- Principle:Protectai Llm guard Sensitive Data Detection
- Principle:Marker Inc Korea AutoRAG Evaluator Initialization
- Principle:Lm sys FastChat HuggingFace Pipeline Inference
- Principle:Eric mitchell Direct preference optimization Concatenated Forward Pass
- Principle:Unstructured IO Unstructured Section Aware Chunking
- Principle:Cypress io Cypress Component Testing Configuration
- Principle:Langchain ai Langgraph Task Definition
Implementations
- Implementation:Zai org CogVideo Parallel Inference xDiT
- Implementation:Bentoml BentoML Framework Keras
- Implementation:Mbzuai oryx Awesome LLM Post training Json Dump Progressive
- Implementation:Sgl project Sglang Sgl Runtime Init
- Implementation:Ggml org Ggml Sam build fast graph
- Implementation:Sgl project Sglang MoE Ops
- Implementation:NVIDIA NeMo Curator ArXiv URLGenerator
- Implementation:Google deepmind Mujoco Filament Builtins
- Implementation:Sgl project Sglang Sgl Kernel Init
- Implementation:Lm sys FastChat Build Side By Side Arena Anony UI
Heuristics
- Heuristic:ContextualAI HALOs Batch Size Divisibility
- Heuristic:Junyanz Pytorch CycleGAN and pix2pix Test Train Option Consistency
- Heuristic:EvolvingLMMs Lab Lmms eval Memory Cleanup After Inference
- Heuristic:Scikit learn Scikit learn Working Memory Tuning
- Heuristic:Googleapis Python genai API Retry Backoff Strategy
- Heuristic:Turboderp org Exllamav2 Dynamic Generator Tuning
- Heuristic:Neuml Txtai Llama Cpp Context Fallback
- Heuristic:Alibaba MNN Weight Quantization Strategy
- Heuristic:Allenai Open instruct NCCL CUMEM Disable
- Heuristic:Mage ai Mage ai HTTP Request Timeout Defaults
Environments
- Environment:Lance format Lance Cloud Storage Credentials
- Environment:DataExpert io Data engineer handbook PostgreSQL Docker Environment
- Environment:Cypress io Cypress Browser Requirements
- Environment:SqueezeAILab ETS Evaluation Python Stack
- Environment:Anthropics Anthropic sdk python AWS Bedrock Environment
- Environment:Langgenius Dify Docker Compose Environment
- Environment:Lance format Lance SIMD And Platform Requirements
- Environment:Google deepmind Mujoco MJX JAX Environment
- Environment:Sktime Pytorch forecasting Matplotlib Plotting Dependencies
- Environment:Mage ai Mage ai Python 3 9 Runtime