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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:Huggingface Peft Prompt Tuning Classification
- Workflow:Spotify Luigi Central Scheduler Deployment
- Workflow:Snorkel team Snorkel Weak Supervision Pipeline
- Workflow:Cohere ai Cohere python AWS Bedrock Deployment
- Workflow:Kserve Kserve LLM Inference Serving
- Workflow:Ucbepic Docetl Pipeline Optimization
- Workflow:Kornia Kornia Edge Detection Pipeline
- Workflow:Farama Foundation Gymnasium Vectorized Environment Training
- Workflow:PrefectHQ Prefect AI Data Analyst Agent
- Workflow:Cypress io Cypress CI Pipeline Integration
Principles
- Principle:DistrictDataLabs Yellowbrick Class Prediction Error Analysis
- Principle:Openai Openai python Realtime Event Processing
- Principle:Microsoft Agent framework Python Workspace Configuration
- Principle:Openai Evals Solver Configuration Patterns
- Principle:Iterative Dvc Plot Output Rendering
- Principle:Webdriverio Webdriverio HTTP Transport
- Principle:Haotian liu LLaVA LoRA Weight Merging
- Principle:SeldonIO Seldon core Explainer Base Model Deployment
- Principle:Deepspeedai DeepSpeed RLHF Experience Generation
- Principle:Facebookresearch Habitat lab High level Policy Training
Implementations
- Implementation:FlowiseAI Flowise CredentialsView
- Implementation:Online ml River Cluster KMeans
- Implementation:Microsoft DeepSpeedExamples BingBert Turing Models
- Implementation:Openai Openai python Response Input Item
- Implementation:Haosulab ManiSkill TriFingerPro
- Implementation:Risingwavelabs Risingwave Docker Compose Deployment
- Implementation:CARLA simulator Carla Python LightManager Bindings
- Implementation:Recommenders team Recommenders Benchmark Train Models
- Implementation:Haosulab ManiSkill BaseStruct
- Implementation:LMCache LMCache HTTP Server
Heuristics
- Heuristic:Shiyu coder Kronos Learning Rate And Optimizer Tuning
- Heuristic:Protectai Llm guard PyTorch Compile Warmup
- Heuristic:AnswerDotAI RAGatouille Index Rebuild Vs Update Decision
- Heuristic:Snorkel team Snorkel LabelModel Mu Eps Clamping
- Heuristic:Facebookresearch Audiocraft Gradient Balancing For Multi Loss
- Heuristic:OpenBMB UltraFeedback Principle Distribution Tuning
- Heuristic:Microsoft BIPIA BF16 Compute Capability Check
- Heuristic:Danijar Dreamerv3 Replay Context Carry Init
- Heuristic:Risingwavelabs Risingwave Source Backoff Strategy
- Heuristic:Predibase Lorax Quantization Backend Selection
Environments
- Environment:SeldonIO Seldon core Docker Compose Local Environment
- Environment:Apache Druid Druid Operator Kubernetes
- Environment:Vespa engine Vespa Cosign Sigstore Signing
- Environment:Huggingface Trl PEFT LoRA Environment
- Environment:Intel Ipex llm Portable Environment
- Environment:Avdvg InjectGuard CUDA GPU
- Environment:Openai Evals Python Runtime
- Environment:Risingwavelabs Risingwave Docker Deployment Environment
- Environment:Sktime Pytorch forecasting Cpflows MQF2 Dependencies
- Environment:Promptfoo Promptfoo Provider API Keys