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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:Alibaba MNN Python Model Inference
- Workflow:Rapidsai Cuml Sklearn Zero Code Acceleration
- Workflow:Bigscience workshop Petals Distributed Text Generation
- Workflow:Isaac sim IsaacGymEnvs Custom Task Development
- Workflow:CarperAI Trlx RLHF Summarization Pipeline
- Workflow:Lucidrains X transformers Non Autoregressive Masked Generation
- Workflow:ContextualAI HALOs Reward Model Training
- Workflow:Microsoft DeepSpeedExamples ZeRO Inference
- Workflow:Protectai Modelscan Programmatic Model Scanning
- Workflow:Mlc ai Web llm Structured Output Generation
Principles
- Principle:Online ml River Online Covariance Estimation
- Principle:Mlflow Mlflow Docker Image Building
- Principle:Bentoml BentoML Cloud Authentication
- Principle:FlowiseAI Flowise Chatflow Persistence
- Principle:Mbzuai oryx Awesome LLM Post training Progressive Data Checkpointing
- Principle:Cypress io Cypress Cloud Telemetry Recording
- Principle:Openclaw Openclaw LLM Inference
- Principle:Deepset ai Haystack Evaluation Result Reporting
- Principle:Farama Foundation Gymnasium Array Backend Conversion
- Principle:Infiniflow Ragflow Chunk Display
Implementations
- Implementation:Predibase Lorax Chat Completions Handler
- Implementation:SeldonIO Seldon core Seldon Pipeline Status
- Implementation:Apache Shardingsphere StatisticsStorageEngine Store
- Implementation:CARLA simulator Carla SignalType
- Implementation:Microsoft Semantic kernel QualityCheck NLP Server
- Implementation:Microsoft Semantic kernel KernelFunction Attribute
- Implementation:Pola rs Polars DataFrame Group By
- Implementation:Haosulab ManiSkill RoboCasaCounter
- Implementation:Open compass VLMEvalKit OlympiadBench Utils
- Implementation:AUTOMATIC1111 Stable diffusion webui CondFunc
Heuristics
- Heuristic:NVIDIA NeMo Curator Deduplication Blocksize Tuning
- Heuristic:DistrictDataLabs Yellowbrick Model Fitted State Detection
- Heuristic:OpenHands OpenHands Streamable HTTP Over SSE
- Heuristic:Online ml River HST Feature Scaling Requirement
- Heuristic:Cypress io Cypress Browser Version Workarounds
- Heuristic:Getgauge Taiko Navigation Wait Strategy
- Heuristic:AnswerDotAI RAGatouille Collection Size Index Tuning
- Heuristic:Bentoml BentoML Warning Deprecated Server Module
- Heuristic:Facebookresearch Habitat lab Mini Batch Environment Divisibility
- Heuristic:Huggingface Peft Warning Deprecated Bone
Environments
- Environment:LMCache LMCache NIXL Transfer Library
- Environment:Treeverse LakeFS Spark GC Environment
- Environment:BerriAI Litellm Observability Stack
- Environment:CARLA simulator Carla Simulation Runtime
- Environment:Recommenders team Recommenders GPU CUDA Environment
- Environment:Sgl project Sglang Multi Platform Accelerators
- Environment:Ggml org Llama cpp Vulkan GPU Environment
- Environment:Apache Dolphinscheduler Netty Runtime
- Environment:ContextualAI HALOs CUDA 12 1 Training Environment
- Environment:Pola rs Polars Python Runtime Environment