Main Page
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.
Connect your AI coding agent. Plug Leeroopedia into your favorite coding agent, and let it build robust AI/ML systems autonomously:
- SuperML plugin — converts your AI coding agent into an expert ML engineer with agentic memory
- Leeroopedia MCP — search over best-practices and skills of ML/AI
- Kapso — experimentation platform for autonomous AI/ML software building
Browse by Category
| 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:Googleapis Python genai Image Generation Pipeline
- Workflow:Junyanz Pytorch CycleGAN and pix2pix CycleGAN Training
- Workflow:Gretelai Gretel synthetics DGAN Timeseries Generation
- Workflow:Cypress io Cypress Local Development Environment
- Workflow:Mlc ai Mlc llm Disaggregated Serving
- Workflow:Vibrantlabsai Ragas RAG Evaluation
- Workflow:Mlfoundations Open flamingo Model Creation And Inference
- Workflow:Bigscience workshop Petals Distributed Text Generation
- Workflow:Fede1024 Rust rdkafka Async Stream Processing
- Workflow:Allenai Open instruct Tulu3 Full Post Training
Principles
- Principle:Nightwatchjs Nightwatch Page Commands
- Principle:FlowiseAI Flowise Lead Capture
- Principle:BerriAI Litellm Router Initialization
- Principle:Infiniflow Ragflow Search Result Display
- Principle:Ollama Ollama LlamaCpp CGo Bridge
- Principle:Deepspeedai DeepSpeed RLHF Experience Generation
- Principle:Treeverse LakeFS Action Hook Definition
- Principle:Vibrantlabsai Ragas Evaluation Dataset Preparation
- Principle:Pytorch Serve LLM Quick Start
- Principle:Online ml River Non Stationary Stream Loading
Implementations
- Implementation:Recommenders team Recommenders RLRMC Dataset
- Implementation:MaterializeInc Materialize Composition Sql Testdrive
- Implementation:TobikoData Sqlmesh Toggle
- Implementation:ArroyoSystems Arroyo Pipeline Config Modal
- Implementation:Helicone Helicone BuildRouter
- Implementation:CarperAI Trlx ROUGE Metric Evaluation
- Implementation:Bentoml BentoML Legacy Service
- Implementation:ARISE Initiative Robosuite WipeArena
- Implementation:Openai Openai python Video Model
- Implementation:CARLA simulator Carla DebugShape
Heuristics
- Heuristic:TA Lib Ta lib python STOCHRSI Vs STOCH RSI
- Heuristic:NVIDIA DALI Warning Deprecated C API V1 Functions
- Heuristic:Google deepmind Mujoco Thread Pool Configuration
- Heuristic:Haifengl Smile BFGS Convergence Tuning
- Heuristic:Apache Kafka Coordinator Loading Commit Interval
- Heuristic:Apache Hudi Write Memory Tuning
- Heuristic:NVIDIA DALI Thread Affinity Optimization
- Heuristic:Kserve Kserve Autoscaler Concurrency Target
- Heuristic:Pytorch Serve Torch Compile Best Practices
- Heuristic:NVIDIA DALI NVJPEG Memory Preallocation
Environments
- Environment:Protectai Modelscan TensorFlow Optional
- Environment:OpenRLHF OpenRLHF DeepSpeed Environment
- Environment:Protectai Modelscan Python Core Runtime
- Environment:Dagster io Dagster GRPC Communication
- Environment:Vllm project Vllm Python Dependencies
- Environment:Allenai Open instruct CUDA GPU Training
- Environment:Protectai Modelscan H5py Optional
- Environment:Huggingface Peft BitsAndBytes Quantization
- Environment:Apache Kafka Release Toolchain Environment
- Environment:Apache Kafka Docker Build Environment