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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:Apache Beam Twister2 Batch Execution
- Workflow:Infiniflow Ragflow Docker Deployment
- Workflow:Scikit learn Scikit learn Data Preprocessing Pipeline
- Workflow:Mlflow Mlflow Prompt Management
- Workflow:MarketSquare Robotframework browser API Testing via Browser
- Workflow:Hiyouga LLaMA Factory Model Export and Merging
- Workflow:Openai Openai python Chat Completion
- Workflow:Kserve Kserve LLM Inference Serving
- Workflow:Haotian liu LLaVA Two Stage Pretraining and Finetuning
- Workflow:OpenBMB UltraFeedback GPT4 Preference Annotation
Principles
- Principle:LLMBook zh LLMBook zh github io Bitsandbytes Quantization
- Principle:Pytorch Serve vLLM Inference
- Principle:Ucbepic Docetl LLM Powered Semantic Filtering
- Principle:Langchain ai Langgraph Graph Module Definition
- Principle:OpenHands OpenHands Nested Server Configuration
- Principle:Datajuicer Data juicer Data Deduplication
- Principle:AUTOMATIC1111 Stable diffusion webui Task Serialization
- Principle:Ggml org Llama cpp JSON Constrained Generation
- Principle:Vespa engine Vespa RPM Package Creation
- Principle:Mistralai Client python Finetuning Job Monitoring
Implementations
- Implementation:NVIDIA TransformerEngine MXFP8Tensor
- Implementation:NVIDIA DALI C API V2 Init
- Implementation:Openai Openai agents python Guardrail Attachment Pattern
- Implementation:Protectai Llm guard Anonymize
- Implementation:Risingwavelabs Risingwave Dashboard API Client
- Implementation:Google deepmind Mujoco User Objects
- Implementation:Triton inference server Server L0 Logging Test
- Implementation:DataExpert io Data engineer handbook DataFrame Write InsertInto
- Implementation:Diagram of thought Diagram of thought Graphviz DAG Visualization
- Implementation:Kserve Kserve PD LLMInferenceService Spec
Heuristics
- Heuristic:OWASP Www project top 10 for large language model applications SHA Pinning For GitHub Actions
- Heuristic:Huggingface Datasets Num Proc Guidelines
- Heuristic:BerriAI Litellm Streaming Loop Detection
- Heuristic:CarperAI Trlx PEFT LoRA Integration
- Heuristic:PacktPublishing LLM Engineers Handbook Dataset Generation Quality Filters
- Heuristic:NVIDIA DALI Last Batch Policy Selection
- Heuristic:Recommenders team Recommenders Test Timing Budgets
- Heuristic:Bitsandbytes foundation Bitsandbytes Outlier Threshold Detection
- Heuristic:NVIDIA TransformerEngine Build Optimization Tips
- Heuristic:Huggingface Transformers Dataloader Pin Memory NonBlocking
Environments
- Environment:Neuml Txtai Docker Deployment Environment
- Environment:Truera Trulens Snowflake Connector Environment
- Environment:Haosulab ManiSkill Motion Planning Deps
- Environment:Treeverse LakeFS LakeFS Server Environment
- Environment:Huggingface Datasets Python PyArrow Core
- Environment:Mbzuai oryx Awesome LLM Post training Git CLI
- Environment:Datajuicer Data juicer LLM API Credentials Environment
- Environment:Kserve Kserve GPU Accelerator
- Environment:Cohere ai Cohere python AWS Integration Dependencies
- Environment:Lucidrains X transformers PyTorch CUDA