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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:Iamhankai Forest of Thought FoT Benchmark Evaluation
- Workflow:Eric mitchell Direct preference optimization DPO Preference Training
- Workflow:DataExpert io Data engineer handbook Dimensional Data Modeling Environment Setup
- Workflow:Isaac sim IsaacGymEnvs RL Policy Training
- Workflow:NVIDIA NeMo Aligner Reward Model Training
- Workflow:Ggml org Ggml Vision Model Inference
- Workflow:Neuml Txtai Agent Execution
- Workflow:VainF Torch Pruning Sparse Training Pruning
- Workflow:Deepset ai Haystack Extractive QA Pipeline
- Workflow:Ggml org Llama cpp LoRA Adapter Workflow
Principles
- Principle:Lance format Lance Vector Index Building
- Principle:Predibase Lorax Continuous Batching Inference
- Principle:Shiyu coder Kronos Single Series Forecasting
- Principle:Microsoft Onnxruntime Distributed Data Loading
- Principle:Obss Sahi COCO Dataset Slicing
- Principle:Huggingface Datasets Python Utilities
- Principle:FMInference FlexLLMGen Distributed Checkpoint Management
- Principle:Langgenius Dify Backend CLI
- Principle:Sktime Pytorch forecasting Categorical Encoding
- Principle:DistrictDataLabs Yellowbrick Joint Plot Analysis
Implementations
- Implementation:Duckdb Duckdb FastPForLib
- Implementation:Online ml River Tree SGT Losses
- Implementation:InternLM Lmdeploy Pipeline Factory Pytorch
- Implementation:NVIDIA DALI TensorView Tests
- Implementation:LMCache LMCache Lookup Client
- Implementation:Infiniflow Ragflow Embedding Function
- Implementation:CARLA simulator Carla Image Save To Disk
- Implementation:Helicone Helicone MCP Flatten Types
- Implementation:Open compass VLMEvalKit MMHelix Sokoban Eval
- Implementation:Haotian liu LLaVA Training Arguments LoRA
Heuristics
- Heuristic:Openai Evals Eval Resumption Strategy
- Heuristic:Fede1024 Rust rdkafka Manual Offset Store Pattern
- Heuristic:Webdriverio Webdriverio Default Timeout Configuration
- Heuristic:Mage ai Mage ai HTTP Error Classification
- Heuristic:Apache Druid Sampler Limitations And Workarounds
- Heuristic:Facebookresearch Habitat lab Mini Batch Environment Divisibility
- Heuristic:Huggingface Peft Warning Deprecated Bone
- Heuristic:Vllm project Vllm GPU Memory Utilization Tuning
- Heuristic:Snorkel team Snorkel LabelModel Mu Eps Clamping
- Heuristic:Speechbrain Speechbrain Gradient Clipping Strategy
Environments
- Environment:Microsoft LoRA PyTorch CUDA Environment
- Environment:Huggingface Open r1 CUDA Environment
- Environment:DevExpress Testcafe Node Runtime
- Environment:LMCache LMCache VLLM Serving Engine
- Environment:Openai Evals Python Runtime
- Environment:Explodinggradients Ragas Optional Metrics Environment
- Environment:Apache Kafka Release Toolchain Environment
- Environment:FlowiseAI Flowise Docker Environment
- Environment:DataTalksClub Data engineering zoomcamp Dbt DuckDB Environment
- Environment:Recommenders team Recommenders GPU CUDA Environment