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Welcome to Leeroopedia
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:Huggingface Trl Supervised Finetuning
- Workflow:Bitsandbytes foundation Bitsandbytes 8bit Optimizer Training
- Workflow:Google research Deduplicate text datasets Wiki40B TFDS deduplication
- Workflow:Microsoft Autogen Studio Team Deployment
- Workflow:Langgenius Dify RAG Pipeline Development
- Workflow:Predibase Lorax Multi Adapter Merging
- Workflow:Nautechsystems Nautilus trader Backtest with BacktestEngine
- Workflow:Testtimescaling Testtimescaling github io GitHub Pages Course Progression
- Workflow:Fastai Fastbook Tabular Modeling
- Workflow:Obss Sahi COCO Dataset Slicing
Principles
- Principle:Facebookresearch Audiocraft Multi Period Discrimination
- Principle:Predibase Lorax Adapter Merge Strategies
- Principle:Norrrrrrr lyn WAInjectBench JSONL Text Dataset Format
- Principle:Scikit learn Scikit learn Discriminant Analysis
- Principle:Apache Paimon Utility Infrastructure
- Principle:Intel Ipex llm DPO Training
- Principle:FlowiseAI Flowise Role Based Access Control
- Principle:Google research Deduplicate text datasets Byte Range Removal
- Principle:Helicone Helicone Plan Upgrade
- Principle:Nightwatchjs Nightwatch Command Namespacing
Implementations
- Implementation:Openai Openai node Webhooks Resource
- Implementation:CarperAI Trlx Sweep
- Implementation:Tensorflow Serving Get Model Metadata Impl
- Implementation:DevExpress Testcafe NativeAutomation CookieProvider
- Implementation:Getgauge Taiko Attach
- Implementation:LMCache LMCache Base Cache Policy
- Implementation:Microsoft DeepSpeedExamples PretrainedBert FileUtils
- Implementation:Mlc ai Mlc llm ConvTemplate Header
- Implementation:Mage ai Mage ai SQLSource Load Data
- Implementation:Tencent Ncnn Draw Rectangle And Text
Heuristics
- Heuristic:ThreeSR Awesome Inference Time Scaling API Rate Limiting Tip
- Heuristic:Evidentlyai Evidently Column Type Inference Rules
- Heuristic:Lm sys FastChat Tokenizer Offset Correction
- Heuristic:Apache Druid Explore Compare Query Strategy
- Heuristic:Groq Groq python Retry Backoff Strategy
- Heuristic:Apache Spark Memory Tuning Tips
- Heuristic:Haifengl Smile Platform Native Library Selection
- Heuristic:Openai Openai agents python Sensitive Data Logging Defaults
- Heuristic:FlagOpen FlagEmbedding Dynamic Batch Size Reduction
- Heuristic:MaterializeInc Materialize Pipeline Test Trimming Rules
Environments
- Environment:ThreeSR Awesome Inference Time Scaling Python Runtime Environment
- Environment:Sktime Pytorch forecasting Matplotlib Plotting Dependencies
- Environment:Elevenlabs Elevenlabs python PyAudio
- Environment:Langchain ai Langgraph Postgres Checkpoint Environment
- Environment:OpenBMB UltraFeedback OpenAI API Environment
- Environment:Huggingface Datasets Search Dependencies
- Environment:Deepseek ai Janus CUDA GPU Environment
- Environment:Vllm project Vllm Buildkite
- Environment:ContextualAI HALOs CUDA 12 1 Training Environment
- Environment:Alibaba MNN GPU CUDA Environment