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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 |
Explore Pages
Workflows
- Workflow:Facebookresearch Habitat lab Rearrangement HRL Training
- Workflow:Spotify Luigi Local Batch Pipeline
- Workflow:Pola rs Polars Lazy Query Pipeline
- Workflow:Apache Druid SQL Query Execution
- Workflow:Puppeteer Puppeteer PDF Generation
- Workflow:Apache Paimon Blob Storage With Descriptors
- Workflow:Huggingface Peft DreamBooth LoRA Diffusion
- Workflow:CarperAI Trlx PPO Sentiment Training
- Workflow:Kubeflow Kubeflow Platform Deployment
- Workflow:Cleanlab Cleanlab Multiannotator Consensus
Principles
- Principle:Langgenius Dify React Context Pattern
- Principle:PacktPublishing LLM Engineers Handbook Batch Inference Generation
- Principle:Liu00222 Open Prompt Injection Combined Attack Injection
- Principle:Iamhankai Forest of Thought Chain of Thought Reasoning
- Principle:Intel Ipex llm Serving Benchmark Methodology
- Principle:Facebookresearch Audiocraft Loudness Ratio Loss
- Principle:Apache Paimon Batch Data Writing
- Principle:Openai Openai node Job Progress Monitoring
- Principle:AUTOMATIC1111 Stable diffusion webui Launch Sequence
- Principle:Pytorch Serve vLLM Model Configuration
Implementations
- Implementation:Datahub project Datahub Chart Entity
- Implementation:Deepset ai Haystack DocumentMAPEvaluator
- Implementation:Mbzuai oryx Awesome LLM Post training Json Load Corpus
- Implementation:Deepspeedai DeepSpeed AutoModel For Inference
- Implementation:ClickHouse ClickHouse SSE Memcpy
- Implementation:Open compass VLMEvalKit Cambrian
- Implementation:Rapidsai Cuml Lasso
- Implementation:Apache Flink RecordEmitter
- Implementation:NVIDIA TransformerEngine GroupedLinear
- Implementation:FlagOpen FlagEmbedding MLVU Anomaly Reco Data
Heuristics
- Heuristic:Testtimescaling Testtimescaling github io Skip CI Commit Tag
- Heuristic:Allenai Open instruct Logprob Clamping
- Heuristic:Openai Openai node Warning Deprecated Beta Realtime
- Heuristic:Kserve Kserve Multinode Replica Calculation
- Heuristic:Snorkel team Snorkel DataParallel Default Behavior
- Heuristic:ArroyoSystems Arroyo Stateful Operator TTL
- Heuristic:Vllm project Vllm KV Cache Block Size Selection
- Heuristic:Microsoft Onnxruntime Threading Configuration Tips
- Heuristic:Apache Flink Bin Packing Complexity Guard
- Heuristic:Sktime Pytorch forecasting Learning Rate Scheduling
Environments
- Environment:Triton inference server Server Docker Container Build
- Environment:Huggingface Datasets Audio Video Dependencies
- Environment:Huggingface Open r1 Slurm Cluster
- Environment:Vllm project Vllm Distributed
- Environment:Anthropics Anthropic sdk python AWS Bedrock Environment
- Environment:SqueezeAILab ETS Multi GPU Sglang Runtime
- Environment:Huggingface Datasets Search Dependencies
- Environment:Apache Druid Web Console Development
- Environment:Tensorflow Serving Kubernetes Deployment Environment
- Environment:Unstructured IO Unstructured OpenAI API