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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:Apache Kafka PR Merge And Backport
- Workflow:CarperAI Trlx PPO Sentiment Training
- Workflow:Protectai Llm guard LLM Input Output Scanning
- Workflow:Mistralai Client python Streaming Chat Completion
- Workflow:Microsoft BIPIA White Box Defense Finetuning
- Workflow:Duckdb Duckdb Benchmark Execution
- Workflow:Togethercomputer Together python Embeddings And Reranking
- Workflow:VainF Torch Pruning Vision Transformer Pruning
- Workflow:Scikit learn Scikit learn Supervised Classification
- Workflow:Huggingface Optimum FX Graph Optimization
Principles
- Principle:Apache Paimon Catalog Setup for Ray
- Principle:MaterializeInc Materialize Composition Execution
- Principle:SqueezeAILab ETS Answer Extraction
- Principle:Webdriverio Webdriverio Performance Reporting
- Principle:Fede1024 Rust rdkafka Message Stream Processing
- Principle:Googleapis Python genai Live Music Generation
- Principle:Huggingface Transformers Modular Model Architecture
- Principle:Open compass VLMEvalKit Video Inference Orchestration
- Principle:Nautechsystems Nautilus trader Live Node Lifecycle
- Principle:Confident ai Deepeval LLM Span Enrichment
Implementations
- Implementation:LaurentMazare Tch rs Tensor Generated
- Implementation:Alibaba ROLL VariousDivergence
- Implementation:Bitsandbytes foundation Bitsandbytes BitsAndBytesConfig 8bit
- Implementation:Hpcaitech ColossalAI RewardModelTrainer
- Implementation:OpenBMB UltraFeedback GPT4 Critique Annotator
- Implementation:ARISE Initiative Robosuite StandWithMount
- Implementation:Online ml River Forecaster Learn One
- Implementation:Interpretml Interpret InteractionCore Hpp
- Implementation:NVIDIA DALI CropWindow
- Implementation:FlowiseAI Flowise UpsertHistorySideDrawer
Heuristics
- Heuristic:CARLA simulator Carla Behavior Agent Profiles
- Heuristic:Deepseek ai Janus Bfloat16 Operation Workarounds
- Heuristic:PrefectHQ Prefect Retry Backoff Strategy
- Heuristic:OpenBMB UltraFeedback Position Bias Mitigation
- Heuristic:Cleanlab Cleanlab Confident Threshold Heuristic
- Heuristic:Intel Ipex llm LoRA Target All Linear Layers
- Heuristic:Online ml River ARF Drift Detection Sensitivity
- Heuristic:Gretelai Gretel synthetics GPU Memory Allow Growth
- Heuristic:Rapidsai Cuml GPU Cache Alignment
- Heuristic:Huggingface Datatrove VLLM Startup Optimization
Environments
- Environment:Speechbrain Speechbrain Speech Enhancement Dependencies
- Environment:Googleapis Python genai Gemini API Key Authentication
- Environment:Getgauge Taiko Chromium Browser
- Environment:Ggml org Ggml Metal GPU Environment
- Environment:DataExpert io Data engineer handbook Statsig API Environment
- Environment:Anthropics Anthropic sdk python Azure Foundry Environment
- Environment:Predibase Lorax Model Source Credentials
- Environment:Treeverse LakeFS Go Runtime Environment
- Environment:MaterializeInc Materialize Docker Compose Runtime
- Environment:Dotnet Machinelearning Platform Architecture Support