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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:Scikit learn contrib Imbalanced learn Balanced Deep Learning Training
- Workflow:Mage ai Mage ai API Source Extraction
- Workflow:Hiyouga LLaMA Factory DPO Preference Alignment
- Workflow:Volcengine Verl Vision Language Model RL Training
- Workflow:Guardrails ai Guardrails Server Deployment
- Workflow:Astronomer Astronomer cosmos Watcher execution mode
- Workflow:Sail sg LongSpec Long Context Evaluation
- Workflow:Danijar Dreamerv3 Evaluation Only
- Workflow:CarperAI Trlx SFT Instruction Tuning
- Workflow:LLMBook zh LLMBook zh github io Data Preprocessing Pipeline
Principles
- Principle:SeleniumHQ Selenium Code Formatting Pipeline
- Principle:Ggml org Llama cpp Multimodal Model Acquisition
- Principle:Haifengl Smile SQL to ML Bridge
- Principle:Dotnet Machinelearning SSA Forecasting Configuration
- Principle:Langchain ai Langchain CI Configuration
- Principle:Volcengine Verl RLHF Data Preparation
- Principle:Haotian liu LLaVA Feature Alignment Pretraining
- Principle:Nautechsystems Nautilus trader Historical Data Wrangling
- Principle:LaurentMazare Tch rs REINFORCE Policy Gradient
- Principle:Haifengl Smile Matrix Decomposition
Implementations
- Implementation:Lance format Lance Java IndexType
- Implementation:Haosulab ManiSkill ActionRepeatWrapper
- Implementation:Microsoft Autogen Studio Eval Judges
- Implementation:Cohere ai Cohere python SingleGeneration Model
- Implementation:Triton inference server Server SphinxDocConf
- Implementation:Google deepmind Mujoco MJX Render Util
- Implementation:Microsoft Onnxruntime CrossEntropy Declarations
- Implementation:Getgauge Taiko Screenshot
- Implementation:Microsoft DeepSpeedExamples Nvidia Bert Dataset Provider
- Implementation:Hiyouga LLaMA Factory KTransformers DeepSeek V3 4GPU Rules
Heuristics
- Heuristic:Cohere ai Cohere python Embed Auto Batching Strategy
- Heuristic:Pola rs Polars GPU Aggregation Join Speedup
- Heuristic:Puppeteer Puppeteer Timeout Hierarchy
- Heuristic:Getgauge Taiko Network Interception Gotchas
- Heuristic:Deepset ai Haystack BM25 Score Scaling
- Heuristic:CrewAIInc CrewAI LLM Provider Message Workarounds
- Heuristic:Lance format Lance BM25 FTS Configuration
- Heuristic:Webdriverio Webdriverio Default Timeout Configuration
- Heuristic:Apache Kafka Log4j Migration Compatibility
- Heuristic:Sgl project Sglang Memory Fraction Tuning
Environments
- Environment:Speechbrain Speechbrain Speech Enhancement Dependencies
- Environment:Apache Kafka Gradle Build Environment
- Environment:Sdv dev SDV Python Runtime
- Environment:Kornia Kornia PyTorch Python Environment
- Environment:Gretelai Gretel synthetics TensorFlow GPU Environment
- Environment:Sktime Pytorch forecasting Optuna Tuning Dependencies
- Environment:Wandb Weave Python SDK Runtime
- Environment:OWASP Www project top 10 for large language model applications Pre Commit Hooks Environment
- Environment:TobikoData Sqlmesh GitHub CICD Runner
- Environment:Gretelai Gretel synthetics Python Base Environment