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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:Facebookresearch Habitat lab Custom Task Extension
- Workflow:Huggingface Open r1 Reasoning Data Generation
- Workflow:Openai Openai agents python Human In The Loop Approval
- Workflow:Huggingface Diffusers ControlNet Guided Generation
- Workflow:NVIDIA DALI Custom Operator Development
- Workflow:Huggingface Peft LoRA Causal LM Finetuning
- Workflow:Teamcapybara Capybara Form Testing
- Workflow:Turboderp org Exllamav2 Interactive Chat
- Workflow:Huggingface Peft QLoRA SFT Finetuning
- Workflow:Lucidrains X transformers DPO Preference Alignment
Principles
- Principle:EvolvingLMMs Lab Lmms eval Environment Setup
- Principle:Huggingface Datatrove JSONL Data Writing
- Principle:Lm sys FastChat Conversation Content Filtering
- Principle:Duckdb Duckdb Source Amalgamation
- Principle:Farama Foundation Gymnasium Vector Rendering
- Principle:Dotnet Machinelearning Binary Model Evaluation
- Principle:SeleniumHQ Selenium Code Formatting Pipeline
- Principle:Intel Ipex llm QLoRA Model Loading
- Principle:Mlflow Mlflow Predict Function Definition
- Principle:Wandb Weave PyPI Publishing
Implementations
- Implementation:Haosulab ManiSkill PartNetChairMeta
- Implementation:Ollama Ollama Convert NomicBert
- Implementation:Facebookresearch Habitat lab RunningMeanAndVar
- Implementation:Scikit learn Scikit learn Pipeline Fit Predict
- Implementation:ClickHouse ClickHouse Poco HTTPDigestCredentials
- Implementation:Google deepmind Mujoco mju threadPoolCreate
- Implementation:Online ml River NaiveBayes BernoulliNB
- Implementation:Datahub project Datahub Actions CLI Run
- Implementation:Risingwavelabs Risingwave DynFields
- Implementation:Alibaba ROLL Merge LoRA Into State Dict
Heuristics
- Heuristic:Sail sg LongSpec TF32 And FP16 Training
- Heuristic:Openai Openai python Timeout Connection Defaults
- Heuristic:Dotnet Machinelearning AutoML SMAC Dimension Limit
- Heuristic:Iterative Dvc Run Cache Restoration Strategy
- Heuristic:Cleanlab Cleanlab Object Detection Scoring Constants
- Heuristic:Romsto Speculative Decoding Filler Top K Tuning
- Heuristic:Apache Airflow Scheduler Performance Tuning
- Heuristic:Promptfoo Promptfoo Cache Configuration Tips
- Heuristic:Alibaba ROLL GPU Memory Offload Strategy
- Heuristic:Speechbrain Speechbrain GAN Dual Optimizer Pattern
Environments
- Environment:MarketSquare Robotframework browser Docker Container
- Environment:Huggingface Alignment handbook Python TRL
- Environment:Marker Inc Korea AutoRAG Python 3 10 Runtime
- Environment:Diagram of thought Diagram of thought Python Graph Libraries
- Environment:SeleniumHQ Selenium Contributor Development Environment
- Environment:Volcengine Verl vLLM Rollout Environment
- Environment:Hpcaitech ColossalAI ColossalChat Training Environment
- Environment:Spotify Luigi PostgreSQL Server
- Environment:Hiyouga LLaMA Factory Quantization Dependencies
- Environment:Lakeraai Pint benchmark Python 310 With Transformers