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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:Protectai Modelscan CLI Model Scanning
- Workflow:Apache Airflow Core Release Process
- Workflow:Cohere ai Cohere python AWS Bedrock Deployment
- Workflow:Openai Openai python Audio Processing
- Workflow:TobikoData Sqlmesh Github CICD automation
- Workflow:CARLA simulator Carla Sensor Data Collection
- Workflow:Bentoml BentoML BentoCloud Deployment
- Workflow:NVIDIA TransformerEngine Accelerate HF Llama With TE
- Workflow:Avhz RustQuant Model Calibration
- Workflow:Datahub project Datahub Metadata Actions Pipeline
Principles
- Principle:Neuml Txtai Index Persistence
- Principle:Online ml River Cluster Evolution Monitoring
- Principle:Webdriverio Webdriverio Test Framework Integration
- Principle:Neuml Txtai Model Integration
- Principle:Astronomer Astronomer cosmos Execution Configuration
- Principle:Mlc ai Mlc llm Chat Completion Interface
- Principle:Apache Druid Visual Query Execution
- Principle:SeldonIO Seldon core Explainer Readiness Verification
- Principle:Helicone Helicone Proxy Interception
- Principle:Microsoft Playwright Analyze Test Execution
Implementations
- Implementation:Allenai Open instruct StreamingDataLoaderConfig
- Implementation:Kornia Kornia Geman Mcclure Loss
- Implementation:Langgenius Dify Service Common
- Implementation:FlowiseAI Flowise ItemCard
- Implementation:Hiyouga LLaMA Factory Chat Model
- Implementation:FlowiseAI Flowise FlowListTable
- Implementation:Duckdb Duckdb Generate Enum Util
- Implementation:Microsoft Agent framework WorkflowEvent Class
- Implementation:VainF Torch Pruning BasePruner
- Implementation:Huggingface Diffusers LoRA Training Loop
Heuristics
- Heuristic:Alibaba MNN Weight Quantization Strategy
- Heuristic:Neuml Txtai MacOS OpenMP Workaround
- Heuristic:Mlc ai Web llm Grammar Matcher Reuse
- Heuristic:Dagster io Dagster Mandatory Ruff Formatting
- Heuristic:Fede1024 Rust rdkafka Producer Flush Before Drop
- Heuristic:Haifengl Smile BFGS Convergence Tuning
- Heuristic:Neuml Txtai Memory Streaming Optimization
- Heuristic:Explodinggradients Ragas Embedding Batch Size Tuning
- Heuristic:Apache Hudi Write Memory Tuning
- Heuristic:Onnx Onnx Protobuf 2GB Limit Workaround
Environments
- Environment:Huggingface Datasets Image Dependencies
- Environment:InternLM Lmdeploy Build From Source
- Environment:Neuml Txtai GPU Accelerator Detection
- Environment:Shiyu coder Kronos PyTorch CUDA Environment
- Environment:Datahub project Datahub Docker Quickstart Environment
- Environment:Cleanlab Cleanlab Datalab Dependencies
- Environment:Unslothai Unsloth Python Transformers
- Environment:Lucidrains X transformers PyTorch CUDA
- Environment:NVIDIA DALI CUDA GPU Environment
- Environment:BerriAI Litellm Redis Cache Backend