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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:OpenRLHF OpenRLHF PPO Ray Training
- Workflow:LaurentMazare Tch rs MNIST Training
- Workflow:Sgl project Sglang Offline Batch Inference
- Workflow:NVIDIA NeMo Aligner Reward Model Training
- Workflow:Alibaba MNN Model Conversion Pipeline
- Workflow:Mlflow Mlflow Experiment Tracking
- Workflow:Neuml Txtai Workflow Orchestration
- Workflow:AUTOMATIC1111 Stable diffusion webui Hypernetwork training
- Workflow:Axolotl ai cloud Axolotl DPO Preference Alignment
- Workflow:Alibaba ROLL DPO Training Pipeline
Principles
- Principle:Apache Airflow Monitoring Observability
- Principle:OpenGVLab InternVL Dynamic Resolution Preprocessing
- Principle:NVIDIA NeMo Aligner REINFORCE Actor Setup
- Principle:OWASP Www project top 10 for large language model applications Assessment Report Generation
- Principle:Lakeraai Pint benchmark Dataset Preparation
- Principle:Pola rs Polars Temporal Data Parsing
- Principle:Marker Inc Korea AutoRAG Configuration Loading
- Principle:Apache Dolphinscheduler Server Lifecycle Management
- Principle:Teamcapybara Capybara Session Cleanup
- Principle:VainF Torch Pruning Growing Regularization
Implementations
- Implementation:ARISE Initiative Robosuite TableArena
- Implementation:Scikit learn Scikit learn SetOutput
- Implementation:Online ml River Datasets Base
- Implementation:Microsoft Playwright Device Descriptors Source
- Implementation:Pola rs Polars DataFrame Write and Convert
- Implementation:NVIDIA TransformerEngine Llama Replace Params
- Implementation:Ollama Ollama XModels GLM4 Parser
- Implementation:Predibase Lorax Seq2Seq LM
- Implementation:MarketSquare Robotframework browser New Browser New Context New Page
- Implementation:Scikit learn contrib Imbalanced learn BalancedBaggingClassifier
Heuristics
- Heuristic:ARISE Initiative Robomimic BatchNorm To GroupNorm For EMA
- Heuristic:Microsoft Playwright Timeout Configuration Tips
- Heuristic:Neuml Txtai Batch Size Defaults
- Heuristic:Hpcaitech ColossalAI Empty Cache Between Phases
- Heuristic:SeleniumHQ Selenium Bazel Hermetic Build Requirement
- Heuristic:ARISE Initiative Robomimic Checkpoint Selection Strategy
- Heuristic:ArroyoSystems Arroyo Worker Heartbeat Timeout
- Heuristic:Webdriverio Webdriverio Exponential Backoff Retry
- Heuristic:Kserve Kserve Autoscaler Concurrency Target
- Heuristic:Lm sys FastChat Tokenizer Offset Correction
Environments
- Environment:Facebookresearch Habitat lab HITL Runtime Environment
- Environment:Evidentlyai Evidently Spark Engine Environment
- Environment:Langchain ai Langchain Unit Test Network Isolation
- Environment:Sgl project Sglang Triton
- Environment:SeldonIO Seldon core Kubernetes Cluster Environment
- Environment:Mage ai Mage ai Singer SDK And Joblib Runtime
- Environment:Google deepmind Mujoco MJX Warp CUDA Environment
- Environment:Unslothai Unsloth CUDA VLLM
- Environment:Google deepmind Mujoco C Build Environment
- Environment:Apache Beam Java Build Environment