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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:Microsoft Onnxruntime Distributed Model Training
- Workflow:Kubeflow Pipelines Iterative Model Training
- Workflow:Langgenius Dify Workflow Builder and Execution
- Workflow:Astronomer Astronomer cosmos Dbt docs generation
- Workflow:Openai Evals Implementing a custom completion function
- Workflow:Deepspeedai DeepSpeed Hybrid Engine RLHF Training
- Workflow:Snorkel team Snorkel Data Augmentation
- Workflow:Datahub project Datahub Metadata Actions Pipeline
- Workflow:Ggml org Llama cpp Text Generation
- Workflow:Googleapis Python genai Text Content Generation
Principles
- Principle:Iterative Dvc Data Index Update
- Principle:Intel Ipex llm Serving Benchmark Methodology
- Principle:Helicone Helicone Prerequisites Installation
- Principle:Google deepmind Mujoco MJX Data Retrieval
- Principle:ClickHouse ClickHouse Server Package Configuration
- Principle:Deepseek ai Janus VQ VAE Decoding
- Principle:Alibaba ROLL Verifiable Reward Computation
- Principle:Vespa engine Vespa Text Chunking
- Principle:Huggingface Optimum Optimized Model Loading
- Principle:Astronomer Astronomer cosmos Telemetry And Observability
Implementations
- Implementation:Open compass VLMEvalKit ChartMimic Legend Evaluator
- Implementation:Eric mitchell Direct preference optimization BasicTrainer Save
- Implementation:CARLA simulator Carla WalkerManager
- Implementation:Haosulab ManiSkill BaseEnv Step Reset
- Implementation:Openai Openai node Node ESM Lockfile
- Implementation:Openai Openai python Response Prompt Param
- Implementation:Sgl project Sglang CPU TopK
- Implementation:Scikit learn Scikit learn GradientBoostingClassifier Init
- Implementation:Ray project Ray ParallelActor Call
- Implementation:Apache Kafka Merge Pr
Heuristics
- Heuristic:Astronomer Astronomer cosmos Memory Optimised Imports
- Heuristic:SeleniumHQ Selenium Warning Deprecated Proxy FTP Methods
- Heuristic:Alibaba ROLL GPU Memory Offload Strategy
- Heuristic:Vespa engine Vespa Maven Parallel Build Optimization
- Heuristic:Sgl project Sglang Memory Fraction Tuning
- Heuristic:Apache Dolphinscheduler Failover Marker TTL
- Heuristic:Haotian liu LLaVA Use Cache Training Inference Toggle
- Heuristic:Ollama Ollama Quantization Layer Selection
- Heuristic:Junyanz Pytorch CycleGAN and pix2pix Image Size Multiple of Four
- Heuristic:Openclaw Openclaw WebSocket Reconnection And Session Cleanup
Environments
- Environment:Tencent Ncnn Vulkan Environment
- Environment:Facebookresearch Audiocraft XFormers Memory Efficient Attention
- Environment:Turboderp org Exllamav2 Build Toolchain
- Environment:Allenai Open instruct Beaker Cluster
- Environment:Intel Ipex llm vLLM XPU Serving Environment
- Environment:Mlc ai Mlc llm TVM Runtime Environment
- Environment:Protectai Llm guard API Server Deployment
- Environment:Lm sys FastChat GPU CUDA Inference
- Environment:Nautechsystems Nautilus trader Asyncio Uvloop Event Loop
- Environment:Helicone Helicone Docker Compose Infrastructure