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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:Cypress io Cypress Project Setup and Configuration
- Workflow:ARISE Initiative Robomimic Dataset Preparation Pipeline
- Workflow:Langgenius Dify App Creation and Configuration
- Workflow:Princeton nlp SimPO On Policy Data Generation
- Workflow:FlagOpen FlagEmbedding Embedder Finetuning
- Workflow:Vespa engine Vespa Config subscription lifecycle
- Workflow:Groq Groq python Text Embedding
- Workflow:Evidentlyai Evidently Data Drift Monitoring
- Workflow:Langchain ai Langchain Chat Model Invocation
- Workflow:Anthropics Anthropic sdk python Structured Output Extraction
Principles
- Principle:Openai Openai node Text To Speech
- Principle:Pyro ppl Pyro SMC Filtering Pattern
- Principle:Google deepmind Mujoco Quasi Random Sequences
- Principle:LaurentMazare Tch rs Darknet Model Building
- Principle:FlowiseAI Flowise Subscription Management
- Principle:Liu00222 Open Prompt Injection Model Creation
- Principle:Cypress io Cypress Component Testing Configuration
- Principle:Promptfoo Promptfoo CI Notification
- Principle:Tensorflow Serving Test Model Export
- Principle:LMCache LMCache Cache Controller Architecture
Implementations
- Implementation:Evidentlyai Evidently Core Tests
- Implementation:Online ml River Stats Sum
- Implementation:Mlc ai Mlc llm EngineConfig
- Implementation:Scikit learn Scikit learn GetComment
- Implementation:Avhz RustQuant ISIN
- Implementation:AUTOMATIC1111 Stable diffusion webui Startup Performance Timer
- Implementation:OpenHands OpenHands OpenhandsPRStore
- Implementation:Online ml River Utils Norm
- Implementation:Facebookresearch Audiocraft SampleManager
- Implementation:Neuml Txtai HFPipeline
Heuristics
- Heuristic:Snorkel team Snorkel Minimum Three LFs
- Heuristic:Duckdb Duckdb Unity Build Strategy
- Heuristic:Risingwavelabs Risingwave LSM Compaction Tuning
- Heuristic:Langgenius Dify API Token Single Flight Caching
- Heuristic:OpenGVLab InternVL Packed Training Buffer Management
- Heuristic:Trailofbits Fickling Severity Threshold Selection
- Heuristic:CrewAIInc CrewAI LLM Provider Message Workarounds
- Heuristic:Princeton nlp Tree of thought llm API Request Batching
- Heuristic:Cohere ai Cohere python Embed Auto Batching Strategy
- Heuristic:Intel Ipex llm DeepSpeed Tensor Parallel Tips
Environments
- Environment:OWASP Www project top 10 for large language model applications PR Description Generator Runtime
- Environment:AUTOMATIC1111 Stable diffusion webui GPU Compute Backend
- Environment:Mlc ai Mlc llm Python Serving Environment
- Environment:Alibaba ROLL Diffusion Video Environment
- Environment:Haifengl Smile Native BLAS LAPACK ARPACK
- Environment:DevExpress Testcafe Chrome Browser
- Environment:Huggingface Transformers 3D Parallel Multi GPU
- Environment:Haifengl Smile Quarkus Serve Environment
- Environment:LLMBook zh LLMBook zh github io VLLM Inference Environment
- Environment:FlowiseAI Flowise Node Runtime Environment