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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:Nightwatchjs Nightwatch Page Object Pattern
- Workflow:Microsoft BIPIA Attack Success Rate Evaluation
- Workflow:Langfuse Langfuse Trace ingestion pipeline
- Workflow:OpenGVLab InternVL Preference Optimization
- Workflow:Roboflow Rf detr Object Detection Inference
- Workflow:OpenHands OpenHands Third Party Runtime Integration
- Workflow:CARLA simulator Carla Autonomous Navigation
- Workflow:Norrrrrrr lyn WAInjectBench Image Prompt Injection Detection
- Workflow:SeldonIO Seldon core Model Deployment
- Workflow:Protectai Llm guard API Server Deployment
Principles
- Principle:Recommenders team Recommenders News Hyperparameter Configuration
- Principle:Neuml Txtai Content Storage
- Principle:Huggingface Transformers CI Test Data Caching
- Principle:ClickHouse ClickHouse Package Validation
- Principle:Trailofbits Fickling File Property Discovery
- Principle:Anthropics Anthropic sdk python Provider Client Initialization
- Principle:FlowiseAI Flowise User Management
- Principle:TobikoData Sqlmesh CICD Production Plan Generation
- Principle:Marker Inc Korea AutoRAG Legacy QA Dataset Creation
- Principle:Kubeflow Kubeflow Integration Testing
Implementations
- Implementation:Mlc ai Mlc llm Sync Engine
- Implementation:Recommenders team Recommenders SARSingleNode Fit
- Implementation:Google research Deduplicate text datasets Count Occurrences
- Implementation:Kubeflow Kubeflow Release Announcement Process
- Implementation:Run llama Llama index SentenceEmbeddingOptimizer
- Implementation:Googleapis Python genai AutomaticFunctionCallingConfig Setup
- Implementation:TobikoData Sqlmesh LoadingContainer
- Implementation:Microsoft Semantic kernel CloudEvents PackageLock
- Implementation:Evidentlyai Evidently Text Descriptors
- Implementation:FlagOpen FlagEmbedding VideoChat2 Choice Bench
Heuristics
- Heuristic:Onnx Onnx Opset Version Selection
- Heuristic:ClickHouse ClickHouse Test Writing Conventions
- Heuristic:Mlfoundations Open flamingo Gradient Clipping Max Norm
- Heuristic:Explodinggradients Ragas Deprecation Migration Guide
- Heuristic:Togethercomputer Together python Retry Backoff Strategy
- Heuristic:Explodinggradients Ragas LLM Temperature Defaults
- Heuristic:FlowiseAI Flowise Heap Memory Configuration
- Heuristic:Huggingface Alignment handbook DPO Beta Selection
- Heuristic:Sktime Pytorch forecasting Gradient Clipping Value
- Heuristic:Sdv dev SDV Gaussian KDE Incompatibility
Environments
- Environment:Apache Shardingsphere Java Runtime Environment
- Environment:Getgauge Taiko Node Runtime
- Environment:Microsoft DeepSpeedExamples RLHF Training Environment
- Environment:NVIDIA DALI CMake Build Environment
- Environment:Ucbepic Docetl Docker Deployment
- Environment:Fede1024 Rust rdkafka Kafka Broker Runtime
- Environment:Allenai Open instruct CUDA GPU Training
- Environment:Dagster io Dagster Python 3 10 Runtime
- Environment:LMCache LMCache NIXL Transfer Library
- Environment:Testtimescaling Testtimescaling github io Semantic Scholar API