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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:Sdv dev SDV Constrained synthesis
- Workflow:Kornia Kornia Differentiable Image Augmentation
- Workflow:Microsoft Semantic kernel Agent Conversation And Orchestration
- Workflow:PrefectHQ Prefect API Sourced ETL
- Workflow:Langchain ai Langchain Streaming Responses
- Workflow:Apache Flink Stream File Compaction
- Workflow:Ggml org Llama cpp OpenAI Compatible Server
- Workflow:Puppeteer Puppeteer Cross Browser Automation
- Workflow:DataExpert io Data engineer handbook PySpark Job Testing
- Workflow:Openai Evals Running a single eval
Principles
- Principle:Evidentlyai Evidently Text Descriptor Configuration
- Principle:FMInference FlexLLMGen Model Configuration Resolution
- Principle:Tensorflow Serving Servable Identity And State
- Principle:FlowiseAI Flowise Evaluation Version Comparison
- Principle:NVIDIA NeMo Curator Video Ingestion
- Principle:Snorkel team Snorkel Labeling Function Definition
- Principle:Microsoft DeepSpeedExamples Reward Model Training
- Principle:Google deepmind Mujoco Ray Casting
- Principle:Tencent Ncnn Autoregressive Sequence Decoding
- Principle:NVIDIA TransformerEngine Gemma Weight Loading
Implementations
- Implementation:SeleniumHQ Selenium Closure Dragger
- Implementation:Promptfoo Promptfoo Config Schema
- Implementation:LLMBook zh LLMBook zh github io LlamaDecoderLayer
- Implementation:MarketSquare Robotframework browser Bootstrap Script
- Implementation:Arize ai Phoenix Experiment Types
- Implementation:Speechbrain Speechbrain Train Switchboard Transformer
- Implementation:Microsoft LoRA DART Test Dataset
- Implementation:Groq Groq python Embeddings Create
- Implementation:Google deepmind Mujoco Engine Island
- Implementation:TobikoData Sqlmesh CICD Gen Prod Plan
Heuristics
- Heuristic:Promptfoo Promptfoo Cache Configuration Tips
- Heuristic:Unstructured IO Unstructured Libmagic Filetype Accuracy
- Heuristic:Pola rs Polars Avoid Lambda In Aggregation
- Heuristic:Dagster io Dagster Lazy Import Pattern
- Heuristic:Cypress io Cypress Xvfb Display Gotcha
- Heuristic:Eventual Inc Daft Execution Config Tuning
- Heuristic:Guardrails ai Guardrails Sentence Tokenizer Optimization
- Heuristic:Hiyouga LLaMA Factory LoRA DDP Configuration
- Heuristic:Alibaba MNN NC4HW4 Data Layout
- Heuristic:Openclaw Openclaw Plugin Dependency Gotchas
Environments
- Environment:Promptfoo Promptfoo Provider API Keys
- Environment:Haotian liu LLaVA OpenAI API Evaluation Environment
- Environment:Kubeflow Kubeflow Istio Certmanager Dex Environment
- Environment:Ray project Ray Python Runtime Environment
- Environment:Datahub project Datahub Docker Runtime
- Environment:Promptfoo Promptfoo Browser Automation
- Environment:Openclaw Openclaw Gateway Network Ports
- Environment:PeterL1n BackgroundMattingV2 PyTorch CUDA
- Environment:Apache Shardingsphere Java Runtime Environment
- Environment:Langgenius Dify Python Backend Environment