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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:Avhz RustQuant Monte Carlo Option Pricing
- Workflow:Google research Deduplicate text datasets Wiki40B TFDS deduplication
- Workflow:Microsoft Onnxruntime Nodejs Inference
- Workflow:Sktime Pytorch forecasting DeepAR Probabilistic Forecasting
- Workflow:Openai Openai python Audio Processing
- Workflow:Openclaw Openclaw Plugin And Skill Extension
- Workflow:Wandb Weave Evaluation Pipeline
- Workflow:Run llama Llama index Data Ingestion Pipeline
- Workflow:Kubeflow Kubeflow Platform Deployment
- Workflow:Gretelai Gretel synthetics DataFrame Batch Synthesis
Principles
- Principle:Cleanlab Cleanlab Multilabel Label Quality Scoring
- Principle:Ggml org Llama cpp Android Integration
- Principle:NVIDIA DALI Plugin Loading
- Principle:Protectai Llm guard Sentiment Analysis
- Principle:Cohere ai Cohere python Message Construction
- Principle:Pyro ppl Pyro Hamiltonian Monte Carlo
- Principle:Microsoft BIPIA Response Generation
- Principle:PrefectHQ Prefect Asset Definition
- Principle:DataExpert io Data engineer handbook SCD Type 2 Transformation
- Principle:Snorkel team Snorkel Dict Dataset Preparation
Implementations
- Implementation:Kornia Kornia Welsch Loss
- Implementation:Obss Sahi Legacy NMS Postprocess
- Implementation:Speechbrain Speechbrain Prepare UrbanSound8k
- Implementation:BerriAI Litellm OpenMeter Logger
- Implementation:Google deepmind Mujoco MJX Warp Types
- Implementation:Arize ai Phoenix Experiment Types
- Implementation:Dotnet Machinelearning OneDalAlgorithms
- Implementation:Shiyu coder Kronos Train Model Tokenizer Qlib
- Implementation:Webdriverio Webdriverio Remote Function
- Implementation:Ggml org Llama cpp LoRA Merge Ctx
Heuristics
- Heuristic:Tensorflow Serving Resource Estimation Rules
- Heuristic:Fede1024 Rust rdkafka Regular Polling Required
- Heuristic:Microsoft DeepSpeedExamples LoRA Learning Rate Scaling
- Heuristic:Pyro ppl Pyro Enumeration Plate Nesting
- Heuristic:Predibase Lorax GPU Sampling Optimization
- Heuristic:Microsoft Autogen Name Uniqueness Constraints
- Heuristic:Groq Groq python Timeout Configuration
- Heuristic:ChenghaoMou Text dedup Fingerprint Batch Size One
- Heuristic:Spcl Graph of thoughts Four Bit Quantization For Local LLMs
- Heuristic:Lucidrains X transformers Rotary Position Embedding Selection
Environments
- Environment:OWASP Www project top 10 for large language model applications Pre Commit Hooks Environment
- Environment:Dagster io Dagster DAGSTER HOME Configuration
- Environment:Pola rs Polars Cloud Storage Environment
- Environment:Astronomer Astronomer cosmos Python Airflow Runtime
- Environment:Webdriverio Webdriverio Node Runtime Environment
- Environment:Haotian liu LLaVA OpenAI API Evaluation Environment
- Environment:Interpretml Interpret Blackbox Explainer Dependencies
- Environment:Vespa engine Vespa Cosign Sigstore Signing
- Environment:Allenai Open instruct Docker Container
- Environment:Mistralai Client python Python SDK Environment