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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:FlowiseAI Flowise Agentflow V2 Creation
- Workflow:ChenghaoMou Text dedup SimHash Deduplication
- Workflow:Haotian liu LLaVA Benchmark Evaluation
- Workflow:Bentoml BentoML BentoCloud Deployment
- Workflow:Rapidsai Cuml Random Forest Training And Inference
- Workflow:Webdriverio Webdriverio Custom Plugin Development
- Workflow:Microsoft Agent framework Graph Based Workflow Execution
- Workflow:Kserve Kserve LLM Disaggregated Serving
- Workflow:Datahub project Datahub CLI Metadata Ingestion
- Workflow:Togethercomputer Together python Embeddings And Reranking
Principles
- Principle:DistrictDataLabs Yellowbrick Visualization Rendering
- Principle:Unslothai Unsloth MoE Expert Routing
- Principle:SeleniumHQ Selenium Session Termination
- Principle:Kserve Kserve GPU Cluster Preparation
- Principle:MarketSquare Robotframework browser Browser Context Lifecycle
- Principle:Langchain ai Langgraph Managed Value System
- Principle:Tensorflow Serving Model Warmup
- Principle:Kubeflow Pipelines Cross Format Validation
- Principle:Confident ai Deepeval Dataset Publishing
- Principle:Apache Flink Asynchronous File Compaction
Implementations
- Implementation:MaterializeInc Materialize Cut Release Verify
- Implementation:Bentoml BentoML Framework Keras
- Implementation:Cohere ai Cohere python Citation Model
- Implementation:Apache Druid SchemaColumnList
- Implementation:Langchain ai Langgraph ToolNode Init
- Implementation:Ucbepic Docetl ColumnDialog
- Implementation:Datajuicer Data juicer Monitor
- Implementation:Infiniflow Ragflow UseLoginRequest Hooks
- Implementation:ClickHouse ClickHouse Clickhouse Split Debug Symbols
- Implementation:Iamhankai Forest of Thought Extract Label
Heuristics
- Heuristic:Open compass VLMEvalKit API Retry With Random Delay
- Heuristic:Treeverse LakeFS Presigned URL Expiry Tip
- Heuristic:Turboderp org Exllamav2 Paged Cache Configuration
- Heuristic:Kserve Kserve Multinode Replica Calculation
- Heuristic:Helicone Helicone Rate Limiting Fail Open
- Heuristic:Confident ai Deepeval Async Concurrency Tuning
- Heuristic:Microsoft BIPIA LLAMA Pad Token Workaround
- Heuristic:Liu00222 Open Prompt Injection PPL Threshold Tuning
- Heuristic:Ucbepic Docetl Token Counting And Truncation
- Heuristic:Eric mitchell Direct preference optimization TF32 Matmul Precision
Environments
- Environment:Google deepmind Mujoco MJX Warp CUDA Environment
- Environment:Eric mitchell Direct preference optimization Python Dependencies
- Environment:Unslothai Unsloth CUDA BitsAndBytes
- Environment:Iterative Dvc Python Runtime
- Environment:PrefectHQ Prefect Python Runtime Environment
- Environment:Huggingface Open r1 CUDA Environment
- Environment:Langgenius Dify Credentials And Env Vars
- Environment:Vllm project Vllm ROCm
- Environment:Explodinggradients Ragas LLM Provider Environment
- Environment:Kserve Kserve Knative Serving