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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:Mage ai Mage ai API Source Extraction
- Workflow:Princeton nlp SimPO SimPO Training
- Workflow:Langchain ai Langchain Vector Store Operations
- Workflow:Mistralai Client python Chat Completion
- Workflow:Openai Openai agents python Guardrails Secured Agent
- Workflow:CrewAIInc CrewAI Flow Based Orchestration
- Workflow:Avhz RustQuant Stochastic Process Simulation
- Workflow:Microsoft BIPIA White Box Defense Finetuning
- Workflow:Alibaba ROLL Reward Flow Diffusion Pipeline
- Workflow:Apache Dolphinscheduler Datasource Connection Management
Principles
- Principle:Ggml org Llama cpp Context Extension Testing
- Principle:Huggingface Open r1 Supervised Fine Tuning
- Principle:Predibase Lorax Inference Request Construction
- Principle:Huggingface Datatrove MinHash Bucket Matching
- Principle:Lm sys FastChat Prompt Topic Clustering
- Principle:Nightwatchjs Nightwatch Results And Reporting
- Principle:Apache Kafka Coordinator State Loading
- Principle:Kubeflow Kubeflow Multi User Configuration
- Principle:Apache Shardingsphere Runtime Rule Object Initialization
- Principle:Langgenius Dify Code Generation
Implementations
- Implementation:InternLM Lmdeploy Gemm TunerParams
- Implementation:InternLM Lmdeploy Impl 884
- Implementation:Huggingface Datatrove ExactSubstringDedup
- Implementation:Apache Paimon BatchTableWrite Write Pandas
- Implementation:Microsoft Semantic kernel SignalR GenerateDocumentsChat
- Implementation:Google deepmind Mujoco Engine Core Util
- Implementation:Apache Dolphinscheduler Vite Build Configuration
- Implementation:Ollama Ollama XTools Registry
- Implementation:ArroyoSystems Arroyo Var Str
- Implementation:Marker Inc Korea AutoRAG Bm25 And Vectordb Ingest
Heuristics
- Heuristic:Openai Whisper Log Probability Threshold
- Heuristic:Tencent Ncnn NMS Threshold Tuning
- Heuristic:Axolotl ai cloud Axolotl FSDP Configuration Guide
- Heuristic:Heibaiying BigData Notes Maven Shade Packaging Tip
- Heuristic:Cohere ai Cohere python Embed Auto Batching Strategy
- Heuristic:SeleniumHQ Selenium Cross Binding Consistency Check
- Heuristic:Scikit learn Scikit learn Working Memory Tuning
- Heuristic:FlowiseAI Flowise Heap Memory Configuration
- Heuristic:Tensorflow Tfjs Memory Management With Tidy
- Heuristic:Sdv dev SDV HMA Schema Simplification
Environments
- Environment:Googleapis Python genai Python 3 10 SDK Runtime
- Environment:Ggml org Llama cpp Python Conversion Environment
- Environment:Openai Openai node WebSocket Dependency
- Environment:ARISE Initiative Robomimic HuggingFace Hub Dependencies
- Environment:MaterializeInc Materialize Python CI Builder Runtime
- Environment:Treeverse LakeFS LakeFS Server Environment
- Environment:Apache Dolphinscheduler Node Pnpm Runtime
- Environment:Infiniflow Ragflow GPU CUDA Environment
- Environment:Evidentlyai Evidently SQL Storage Environment
- Environment:Huggingface Alignment handbook DeepSpeed Multi Node