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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:Axolotl ai cloud Axolotl Full Finetuning Distributed
- Workflow:Kserve Kserve LLM Disaggregated Serving
- Workflow:Fastai Fastbook Image Classification
- Workflow:OpenHands OpenHands GitHub Webhook Event Processing
- Workflow:Vllm project Vllm OpenAI Compatible Serving
- Workflow:Risingwavelabs Risingwave Sink Connector Pipeline
- Workflow:Microsoft Playwright End to end test authoring
- Workflow:Helicone Helicone Local Development Setup
- Workflow:Datajuicer Data juicer Text Data Processing Pipeline
- Workflow:Zai org CogVideo Diffusers Image to Video Inference
Principles
- Principle:Langchain ai Langgraph Graph Execution
- Principle:DevExpress Testcafe CLI Test Run Orchestration
- Principle:Langgenius Dify Application Bootstrap
- Principle:Protectai Llm guard Token Limit Enforcement
- Principle:Huggingface Peft SFT Training
- Principle:Openai Openai agents python Tool Execution Loop
- Principle:OpenRLHF OpenRLHF Reward Model Training Loop
- Principle:Teamcapybara Capybara Selector Definition
- Principle:Haotian liu LLaVA LoRA Configuration
- Principle:Sail sg LongSpec Evaluation Callback Pipeline
Implementations
- Implementation:Hiyouga LLaMA Factory V1 Data Engine
- Implementation:Kserve Kserve Kubeflow RBAC ClusterRoles
- Implementation:Datajuicer Data juicer PythonLambdaMapper
- Implementation:Bigscience workshop Petals DistributedFalconConfig
- Implementation:LMCache LMCache Controller Utils
- Implementation:Confident ai Deepeval TraceManager Configure
- Implementation:Huggingface Datasets Sql Builder
- Implementation:Langgenius Dify Dify Env Sync
- Implementation:Datajuicer Data juicer CharacterRepetitionFilter
- Implementation:Testtimescaling Testtimescaling github io HTML Table Row Append
Heuristics
- Heuristic:Ollama Ollama Sampling Numerical Stability
- Heuristic:Sail sg LongSpec NCCL Distributed Settings
- Heuristic:Deepset ai Haystack Document Splitting Defaults
- Heuristic:Astronomer Astronomer cosmos Watcher Queue Sizing
- Heuristic:Turboderp org Exllamav2 Paged Cache Configuration
- Heuristic:Ollama Ollama Download Retry Strategy
- Heuristic:OpenBMB UltraFeedback Principle Distribution Tuning
- Heuristic:Openclaw Openclaw Config Cascade Resolution
- Heuristic:Teamcapybara Capybara Frozen Time Detection
- Heuristic:Huggingface Datasets Flatten Indices Performance
Environments
- Environment:Predibase Lorax Docker Container Runtime
- Environment:Shiyu coder Kronos PyTorch CUDA Environment
- Environment:TA Lib Ta lib python TA Lib C Library
- Environment:Ucbepic Docetl Python Runtime
- Environment:TobikoData Sqlmesh BigQuery Connection
- Environment:Puppeteer Puppeteer Node 18 Runtime
- Environment:SeldonIO Seldon core Python ML Dependencies Environment
- Environment:Promptfoo Promptfoo Python Runtime
- Environment:Hpcaitech ColossalAI CUDA GPU Environment
- Environment:Datahub project Datahub Java 17 Backend Environment