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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:Bigscience workshop Petals Server Contribution
- Workflow:DataExpert io Data engineer handbook AB Experimentation Server
- Workflow:Danijar Dreamerv3 Train And Evaluate
- Workflow:Mistralai Client python Text Embeddings
- Workflow:Huggingface Optimum Automatic Tensor Parallelization
- Workflow:Pytorch Serve Large Model Inference
- Workflow:SeleniumHQ Selenium Selenium Grid Deployment
- Workflow:Huggingface Optimum Accelerated Inference Pipeline
- Workflow:Langchain ai Langchain Chat Model Invocation
- Workflow:OpenBMB UltraFeedback Completion Generation
Principles
- Principle:Intel Ipex llm Hybrid CPU GPU Inference
- Principle:Turboderp org Exllamav2 Sampling Configuration
- Principle:Kubeflow Pipelines Parallel Iteration
- Principle:Onnx Onnx IO Map Definition
- Principle:Alibaba MNN MNN Build System
- Principle:Webdriverio Webdriverio Test Infrastructure
- Principle:DataExpert io Data engineer handbook DataFrame Equality Assertion
- Principle:Princeton nlp SimPO Configuration Parsing
- Principle:EvolvingLMMs Lab Lmms eval Model Configuration
- Principle:Triton inference server Server LLM Benchmarking
Implementations
- Implementation:AnswerDotAI RAGatouille RAGPretrainedModel From Index
- Implementation:Facebookresearch Habitat lab PPOTrainer train skill
- Implementation:Apache Druid ExpressionMenu
- Implementation:EvolvingLMMs Lab Lmms eval RefCOCO Plus Utils Rec
- Implementation:Huggingface Datasets IterableDataset Map
- Implementation:NVIDIA DALI EfficientDet Preprocessor
- Implementation:MaterializeInc Materialize CLI Optbench
- Implementation:Allenai Open instruct TensorCache
- Implementation:SeleniumHQ Selenium Closure Events
- Implementation:OpenRLHF OpenRLHF ValueLoss
Heuristics
- Heuristic:Avdvg InjectGuard Sim K Threshold Tuning
- Heuristic:Microsoft Autogen Warning Deprecated JSON Env Files
- Heuristic:Ggml org Llama cpp Context Size Alignment
- Heuristic:Vibrantlabsai Ragas Warning Deprecated V1 Metrics
- Heuristic:Fastai Fastbook Embedding Size Rule
- Heuristic:Openclaw Openclaw Config Cascade Resolution
- Heuristic:Recommenders team Recommenders TensorFlow Session Ordering
- Heuristic:PeterL1n BackgroundMattingV2 Refine Mode Selection
- Heuristic:Langfuse Langfuse ClickHouse FINAL Skip Optimization
- Heuristic:Cleanlab Cleanlab Confident Threshold Heuristic
Environments
- Environment:Intel Ipex llm Portable Environment
- Environment:Shiyu coder Kronos Qlib Data Environment
- Environment:Mlc ai Web llm Node Build Toolchain
- Environment:Nautechsystems Nautilus trader Arrow Parquet Serialization
- Environment:Risingwavelabs Risingwave Rust Build Environment
- Environment:Apache Flink Java Build Environment
- Environment:Liu00222 Open Prompt Injection Python Dependencies
- Environment:Lance format Lance Cloud Storage Credentials
- Environment:Bitsandbytes foundation Bitsandbytes HPU Gaudi Runtime
- Environment:LMCache LMCache Python Runtime