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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:DevExpress Testcafe CLI Test Execution
- Workflow:CARLA simulator Carla Simulation Setup and First Steps
- Workflow:VainF Torch Pruning CNN Pruning
- Workflow:Roboflow Rf detr ONNX Export
- Workflow:Pyro ppl Pyro Discrete Enumeration
- Workflow:Spcl Graph of thoughts Custom GoT Use Case Integration
- Workflow:Deepset ai Haystack Document Preprocessing Pipeline
- Workflow:Langchain ai Langchain Streaming Responses
- Workflow:Lm sys FastChat Vicuna SFT Finetuning
- Workflow:Predibase Lorax Multi Adapter Merging
Principles
- Principle:Pytorch Serve Tensor Parallel LLM Architecture
- Principle:Facebookresearch Audiocraft Token Sampling Strategies
- Principle:Vllm project Vllm Output Validation
- Principle:CarperAI Trlx Evaluation Metrics Design
- Principle:Scikit learn Scikit learn Voting Ensemble
- Principle:Volcengine Verl Trajectory Reward Shaping
- Principle:Sktime Pytorch forecasting Learning Rate Finding
- Principle:Mlc ai Mlc llm Weight Conversion and Quantization
- Principle:LLMBook zh LLMBook zh github io Causal LM Model Initialization
- Principle:Triton inference server Server Command Line Parsing
Implementations
- Implementation:Getgauge Taiko RadioButton Select
- Implementation:LMCache LMCache CacheGen Decoder
- Implementation:Apache Spark Python Run Tests
- Implementation:Mage ai Mage ai Intercom Streams
- Implementation:Google deepmind Dm control Suite Humanoid CMU
- Implementation:CARLA simulator Carla CityScapesPalette
- Implementation:Dotnet Machinelearning FastTree LambdaMART Derivatives
- Implementation:OpenBMB UltraFeedback Model Pool Sampling
- Implementation:NVIDIA TransformerEngine Ops Fuser
- Implementation:Open compass VLMEvalKit MiniGPT4
Heuristics
- Heuristic:Speechbrain Speechbrain Gradient Clipping Strategy
- Heuristic:Apache Airflow Task Dependency Isolation
- Heuristic:NVIDIA NeMo Aligner DPO Sequence Packing Tips
- Heuristic:Datahub project Datahub Docker Memory Preflight
- Heuristic:Microsoft DeepSpeedExamples SuperOffload NUMA Binding
- Heuristic:Kubeflow Pipelines Resource Sizing For Components
- Heuristic:Huggingface Datasets Batch Size Optimization
- Heuristic:Helicone Helicone Cost Precision Multiplier
- Heuristic:Duckdb Duckdb Memory Management Rules
- Heuristic:Apache Spark Memory Tuning Tips
Environments
- Environment:Wandb Weave Trace Server Infrastructure
- Environment:Lakeraai Pint benchmark Python 310 With Transformers
- Environment:Datahub project Datahub Spark Lineage Environment
- Environment:Eventual Inc Daft Python PyArrow Core
- Environment:Tensorflow Serving Kubernetes Deployment Environment
- Environment:Langchain ai Langchain OpenAI API Credentials
- Environment:Obss Sahi Python Pycocotools
- Environment:Alibaba ROLL Megatron Training Environment
- Environment:Shiyu coder Kronos Qlib Data Environment
- Environment:Haotian liu LLaVA Python CUDA Training Environment