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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:Vespa engine Vespa Logging framework initialization
- Workflow:Eric mitchell Direct preference optimization SFT Training
- Workflow:HKUDS AI Trader End to End US Stock Trading
- Workflow:Microsoft DeepSpeedExamples SuperOffload Finetuning
- Workflow:Nautechsystems Nautilus trader Backtest with BacktestNode
- Workflow:Eric mitchell Direct preference optimization DPO Preference Training
- Workflow:Haosulab ManiSkill RL Training with PPO
- Workflow:Scikit learn contrib Imbalanced learn Balanced Deep Learning Training
- Workflow:Google deepmind Dm control Manipulation Task Setup
- Workflow:Openai Openai python Responses API Text Generation
Principles
- Principle:Intel Ipex llm DPO Model Export
- Principle:NVIDIA TransformerEngine FP8 Quantization
- Principle:Lucidrains X transformers Variational Latent Language Modeling
- Principle:Confident ai Deepeval Dataset Export
- Principle:Cleanlab Cleanlab Multilabel Label Quality Scoring
- Principle:LaurentMazare Tch rs Recurrent Neural Network
- Principle:Cleanlab Cleanlab Noise Robust Training
- Principle:AnswerDotAI RAGatouille Trainer Initialization
- Principle:Scikit learn Scikit learn Model Instantiation
- Principle:Wandb Weave Result Analysis
Implementations
- Implementation:Webdriverio Webdriverio MSPO Service
- Implementation:Apache Druid InputSourceStep
- Implementation:Puppeteer Puppeteer Versions Map
- Implementation:Teamcapybara Capybara Node Actions Fill In
- Implementation:TA Lib Ta lib python Setup Py Build
- Implementation:Astronomer Astronomer cosmos StarRocksUserPasswordProfileMapping
- Implementation:Isaac sim IsaacGymEnvs Runner Play Mode
- Implementation:Ggml org Ggml Cpu backend api
- Implementation:Openai Openai python Response Web Search In Progress
- Implementation:LMCache LMCache TTL Lock
Heuristics
- Heuristic:OpenBMB UltraFeedback GPU Memory Utilization
- Heuristic:Microsoft DeepSpeedExamples SuperOffload NUMA Binding
- Heuristic:Dotnet Machinelearning Tokenizer Caching Strategy
- Heuristic:FMInference FlexLLMGen Offloading Percent Tuning
- Heuristic:Nautechsystems Nautilus trader Strategy On Start Initialization
- Heuristic:InternLM Lmdeploy OOM Troubleshooting
- Heuristic:Openai Whisper Log Probability Threshold
- Heuristic:Shiyu coder Kronos Two Stage Finetuning Strategy
- Heuristic:PacktPublishing LLM Engineers Handbook Chunking Strategy By Content Type
- Heuristic:Arize ai Phoenix Warning Deprecated HallucinationEvaluator
Environments
- Environment:Mlfoundations Open flamingo PyTorch CUDA Distributed
- Environment:Openai Openai agents python Python 3 9 Runtime
- Environment:Sgl project Sglang CPU
- Environment:Sail sg LongSpec Inference Environment
- Environment:Dagster io Dagster Container Resource Monitoring
- Environment:Zai org CogVideo Diffusers Inference Environment
- Environment:Dagster io Dagster PostgreSQL Storage
- Environment:Bitsandbytes foundation Bitsandbytes Build From Source Environment
- Environment:Gretelai Gretel synthetics PyTorch CUDA Environment
- Environment:Huggingface Datasets JAX Integration