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Workflows
7,697
Principles
16,832
Implementations
1,245
Heuristics
909
Environments
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:Evidentlyai Evidently Monitoring Dashboard Setup
- Workflow:Ggml org Ggml Backend Accelerated Computation
- Workflow:LLMBook zh LLMBook zh github io DPO Alignment
- Workflow:Cohere ai Cohere python Text Embedding
- Workflow:ClickHouse ClickHouse Contributing Pull Request
- Workflow:Diagram of thought Diagram of thought DoT Prompt Customization
- Workflow:Speechbrain Speechbrain Speech Separation Training
- Workflow:Kubeflow Pipelines XGBoost Training Pipeline
- Workflow:Microsoft LoRA GPT2 NLG Finetuning
- Workflow:Openai Evals Creating a model graded eval
Principles
- Principle:Ggml org Llama cpp Model Download Management
- Principle:Huggingface Datatrove Tokenized Dataset Loading
- Principle:Langchain ai Langgraph Chatbot Simulation Evaluation
- Principle:Online ml River Dummy Baseline Estimation
- Principle:Evidentlyai Evidently Dashboard Panel Configuration
- Principle:Microsoft DeepSpeedExamples Multi Dataset VQA Preparation
- Principle:Apache Kafka Multi Architecture Image Build
- Principle:Huggingface Datatrove Token Statistics
- Principle:NVIDIA NeMo Aligner Reward Model Serving
- Principle:Fede1024 Rust rdkafka FFI Binding Layer
Implementations
- Implementation:Risingwavelabs Risingwave Load Generation Loop
- Implementation:LaurentMazare Tch rs PyTorch Declarations Yaml
- Implementation:Langchain ai Langchain BaseMemory
- Implementation:Kornia Kornia Ycbcr Conversion
- Implementation:OpenGVLab InternVL Classification Config
- Implementation:Google deepmind Dm control MJCF RootElement Parser
- Implementation:CARLA simulator Carla TrafficLight Class
- Implementation:Roboflow Rf detr Torchvision Transforms For Detection
- Implementation:Duckdb Duckdb Catch Test Framework
- Implementation:Guardrails ai Guardrails CLI Validate
Heuristics
- Heuristic:CARLA simulator Carla Synchronous Mode Fixed Delta
- Heuristic:Vespa engine Vespa Maven Parallel Build Optimization
- Heuristic:Deepset ai Haystack Logging Auto Detection
- Heuristic:Huggingface Open r1 Distributed Training Configuration
- Heuristic:Mlc ai Mlc llm Metal KV Cache Capacity Limit
- Heuristic:Tensorflow Tfjs WASM Cross Origin Isolation
- Heuristic:Vibrantlabsai Ragas Reasoning Model Parameter Constraints
- Heuristic:Sktime Pytorch forecasting Batch Size Selection
- Heuristic:Avhz RustQuant Finite Difference Grid Sizing
- Heuristic:Haosulab ManiSkill Num Envs Backend Selection
Environments
- Environment:Openai Openai agents python Python 3 9 Runtime
- Environment:Microsoft DeepSpeedExamples SuperOffload Runtime
- Environment:CARLA simulator Carla Python API Runtime
- Environment:Pyro ppl Pyro Python PyTorch Core
- Environment:Bigscience workshop Petals CUDA Server
- Environment:Eventual Inc Daft Ray Distributed Runner
- Environment:Tensorflow Serving GPU CUDA Environment
- Environment:Isaac sim IsaacGymEnvs Python CUDA Runtime
- Environment:BerriAI Litellm Docker Deployment
- Environment:Dotnet Machinelearning ONNX Runtime Environment