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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 |
Explore Pages
Workflows
- Workflow:Huggingface Peft LoRA Embedding Semantic Search
- Workflow:DistrictDataLabs Yellowbrick Regression Model Evaluation
- Workflow:Hiyouga LLaMA Factory PPO RLHF Training
- Workflow:Microsoft LoRA NLU GLUE Finetuning
- Workflow:Shiyu coder Kronos Single Series Prediction
- Workflow:Getgauge Taiko Network Request Interception
- Workflow:Obss Sahi COCO Evaluation
- Workflow:Speechbrain Speechbrain Speaker Embedding Training
- Workflow:Huggingface Datatrove Common Crawl Processing
- Workflow:Snorkel team Snorkel Slice Aware Training
Principles
- Principle:DistrictDataLabs Yellowbrick Scatter Feature Visualization
- Principle:Apache Spark Programmatic Application Launch
- Principle:Helicone Helicone Worker Environment Types
- Principle:Ggml org Llama cpp Debugging
- Principle:CarperAI Trlx Branch Benchmarking
- Principle:Pyro ppl Pyro Tensor Variable Elimination
- Principle:Volcengine Verl Policy Loss Optimization
- Principle:Cleanlab Cleanlab Token Issue Display
- Principle:Pyro ppl Pyro Mean Field Variational Inference
- Principle:Microsoft LoRA NLG Environment Setup
Implementations
- Implementation:Apache Beam StreamingDataflowWorker FromOptions
- Implementation:Datahub project Datahub Emitter Emit
- Implementation:Lm sys FastChat Category Classifier
- Implementation:Microsoft Autogen Studio Run View
- Implementation:Trailofbits Fickling Find File Properties
- Implementation:Mlfoundations Open flamingo Create model and transforms
- Implementation:Huggingface Alignment handbook Setup Chat Format
- Implementation:Ollama Ollama Llama Model Grok
- Implementation:Spotify Luigi Task Lifecycle
- Implementation:SeleniumHQ Selenium Closure Aria Attributes
Heuristics
- Heuristic:Intel Ipex llm CCL Distributed Training Tips
- Heuristic:Huggingface Trl Distributed Device Map Override
- Heuristic:Alibaba ROLL Numerical Stability Epsilon
- Heuristic:Deepset ai Haystack Pipeline Max Runs Safety Limit
- Heuristic:Guardrails ai Guardrails Sentence Tokenizer Optimization
- Heuristic:Roboflow Rf detr Batch Size Memory Tradeoff
- Heuristic:SqueezeAILab ETS Embedding Model GPU Collocation
- Heuristic:Triton inference server Server Model Instance Scaling
- Heuristic:Openclaw Openclaw Config Cascade Resolution
- Heuristic:Cohere ai Cohere python HTTP Retry Backoff Strategy
Environments
- Environment:Sdv dev SDV Python Runtime
- Environment:Duckdb Duckdb Code Formatting Tools
- Environment:Bitsandbytes foundation Bitsandbytes HPU Gaudi Runtime
- Environment:Tensorflow Tfjs Python Converter
- Environment:Microsoft Onnxruntime Windows Build Environment
- Environment:Openai Whisper FFmpeg
- Environment:Ucbepic Docetl LLM API Keys
- Environment:Getgauge Taiko Chromium Browser
- Environment:SqueezeAILab ETS Evaluation Python Stack
- Environment:Allenai Open instruct Docker Container