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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:Vllm project Vllm Speculative Decoding
- Workflow:CARLA simulator Carla Traffic Generation
- Workflow:DistrictDataLabs Yellowbrick Classification Model Evaluation
- Workflow:Ggml org Llama cpp HF to GGUF Model Conversion
- Workflow:Mlc ai Web llm Structured Output Generation
- Workflow:Googleapis Python genai Function Calling and Tools
- Workflow:Mage ai Mage ai Building a New Source Connector
- Workflow:Webdriverio Webdriverio Custom Plugin Development
- Workflow:Webdriverio Webdriverio Page Object Pattern
- Workflow:EvolvingLMMs Lab Lmms eval Distributed Multi GPU Evaluation
Principles
- Principle:Datahub project Datahub V2 Client Setup
- Principle:PacktPublishing LLM Engineers Handbook REST API Serving
- Principle:Huggingface Datasets CSV Export
- Principle:Huggingface Datatrove Parquet Data Writing
- Principle:Openai Evals Completion Function Resolution
- Principle:Google deepmind Mujoco Binary Model Loading
- Principle:Microsoft LoRA LoRA Checkpoint Evaluation
- Principle:Facebookresearch Audiocraft Encoder Decoder Architecture
- Principle:Mlfoundations Open flamingo Dual Dataset Training Loop
- Principle:Apache Spark Release Finalization
Implementations
- Implementation:Duckdb Duckdb Miniz Compression
- Implementation:NVIDIA NeMo Aligner Process Anthropic HH Chat Prompt
- Implementation:Langgenius Dify Theme Var Define
- Implementation:Datajuicer Data juicer Pip Install Ray Extras
- Implementation:Kubeflow Pipelines Regression Metrics Evaluation
- Implementation:Evidentlyai Evidently Legacy Trigger Words Feature
- Implementation:Rapidsai Cuml Kernel SHAP
- Implementation:Openai CLIP Clip Tokenize
- Implementation:Apache Flink Mapreduce HadoopInputFormatBase
- Implementation:Google deepmind Mujoco UI Main Header
Heuristics
- Heuristic:SeldonIO Seldon core Model Load Timeout Tip
- Heuristic:Sgl project Sglang Memory Fraction Tuning
- Heuristic:Treeverse LakeFS Action Cache Wait Tip
- Heuristic:Microsoft LoRA Warning Deprecated Legacy Examples
- Heuristic:Heibaiying BigData Notes Spark Streaming Local Threads Tip
- Heuristic:EvolvingLMMs Lab Lmms eval Request Caching Strategy
- Heuristic:Speechbrain Speechbrain Separation Loss Filtering
- Heuristic:Farama Foundation Gymnasium Action Space Normalization Tip
- Heuristic:Scikit learn contrib Imbalanced learn Sampling Strategy Selection
- Heuristic:VainF Torch Pruning Over Pruning Prevention
Environments
- Environment:Microsoft Playwright Platform Support Environment
- Environment:Sgl project Sglang CUDA SM100
- Environment:Kubeflow Pipelines KFP Backend Deployment
- Environment:Huggingface Open r1 vLLM Server
- Environment:Axolotl ai cloud Axolotl Multi GPU
- Environment:Sgl project Sglang Grafana
- Environment:Shiyu coder Kronos DDP Multi GPU Environment
- Environment:Evidentlyai Evidently Grafana Monitoring Environment
- Environment:Datahub project Datahub Spark Lineage Environment
- Environment:HKUDS AI Trader MCP Services