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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:Facebookresearch Audiocraft MusicGen Text To Music Inference
- Workflow:EvolvingLMMs Lab Lmms eval Custom Model Integration
- Workflow:Google deepmind Mujoco GPU batched simulation MJX
- Workflow:Duckdb Duckdb Source Amalgamation And Packaging
- Workflow:Avhz RustQuant Yield Curve Construction
- Workflow:Heibaiying BigData Notes Storm Topology Development
- Workflow:Apache Beam Portable Pipeline Submission
- Workflow:Mlfoundations Open flamingo Model Creation And Inference
- Workflow:Predibase Lorax Multi Adapter Merging
- Workflow:DevExpress Testcafe CLI Test Execution
Principles
- Principle:Datajuicer Data juicer Operator Fusion
- Principle:Mit han lab Llm awq LM Evaluation Harness Adaptation
- Principle:Nightwatchjs Nightwatch Dependency Management
- Principle:Helicone Helicone Model Provider Identification
- Principle:Vespa engine Vespa Embedding Generation
- Principle:LLMBook zh LLMBook zh github io Pretraining Dataset Preparation
- Principle:Cohere ai Cohere python Finetuned Model Creation
- Principle:Danijar Dreamerv3 Environment Construction
- Principle:Tensorflow Serving Servable Access Pattern
- Principle:MarketSquare Robotframework browser Code Quality Enforcement
Implementations
- Implementation:Kserve Kserve Batcher Sample Input
- Implementation:NVIDIA NeMo Curator IDGenerator
- Implementation:Openai Openai python Response Model
- Implementation:Infiniflow Ragflow Agent Constants
- Implementation:Huggingface Datatrove MinhashDedupBuckets
- Implementation:Lance format Lance RepDef
- Implementation:Diagram of thought Diagram of thought Proposer Critic XML Cycle
- Implementation:CrewAIInc CrewAI Crew Kickoff
- Implementation:Huggingface Diffusers DiffusersAutoQuantizer From Config
- Implementation:Sgl project Sglang LLaVA Video Pipeline
Heuristics
- Heuristic:BerriAI Litellm Token Counting Buffer
- Heuristic:Haotian liu LLaVA Use Cache Training Inference Toggle
- Heuristic:Google research Deduplicate text datasets Parallel Job Scaling By Data Size
- Heuristic:Explodinggradients Ragas Retry And Backoff Configuration
- Heuristic:Mbzuai oryx Awesome LLM Post training Reference Citation Cap 200
- Heuristic:Huggingface Datatrove FineWeb Filter Pipeline Order
- Heuristic:Deepseek ai Janus Image Generation Prompt Tips
- Heuristic:Open compass VLMEvalKit Judge Model Selection By Dataset
- Heuristic:Deepseek ai Janus Bfloat16 Operation Workarounds
- Heuristic:CarperAI Trlx Partial Layer Freezing
Environments
- Environment:Openai Openai agents python Voice Dependencies
- Environment:OpenHands OpenHands SaaS Server Environment
- Environment:Apache Kafka Docker Build Environment
- Environment:Dotnet Machinelearning OneDal Acceleration
- Environment:Cleanlab Cleanlab Datalab Dependencies
- Environment:Confident ai Deepeval Python 3 9 Runtime
- Environment:Allenai Open instruct Ray Distributed
- Environment:NVIDIA NeMo Aligner TensorRT LLM Acceleration Environment
- Environment:Anthropics Anthropic sdk python AWS Bedrock Environment
- Environment:Sgl project Sglang Multimodal