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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:Mistralai Client python Function Calling
- Workflow:DataTalksClub Data engineering zoomcamp Spark Batch Processing
- Workflow:Ggml org Ggml Vision Model Inference
- Workflow:Gretelai Gretel synthetics DGAN Timeseries Generation
- Workflow:Allenai Open instruct Reward Model Training
- Workflow:ChenghaoMou Text dedup Bloom Filter Deduplication
- Workflow:Openai Evals Running an eval set
- Workflow:Tensorflow Tfjs GPT2 Text Generation
- Workflow:MarketSquare Robotframework browser Browser Test Authoring
- Workflow:Openai Openai agents python Streaming Agent Execution
Principles
- Principle:Bentoml BentoML HTTP Production Serving
- Principle:Huggingface Open r1 Difficulty Based Data Filtering
- Principle:Avdvg InjectGuard Evaluation And Metrics
- Principle:Sdv dev SDV Fixed Combinations Constraint
- Principle:Sktime Pytorch forecasting TFT V2 Architecture
- Principle:AUTOMATIC1111 Stable diffusion webui Checkpoint model selection
- Principle:Pyro ppl Pyro Attend Infer Repeat
- Principle:Google deepmind Dm control Locomotion Visualization
- Principle:InternLM Lmdeploy Response Processing
- Principle:Apache Druid Supervisor Submission
Implementations
- Implementation:Online ml River Stats Minimum
- Implementation:Huggingface Optimum Get Dataset
- Implementation:Online ml River Base Ensemble
- Implementation:Apache Paimon ArrayUtils
- Implementation:Run llama Llama index Pooling
- Implementation:Huggingface Datatrove ContextShuffler
- Implementation:Google deepmind Mujoco Engine Util Solve Header
- Implementation:Langchain ai Langchain OpenAI Moderation Middleware
- Implementation:Spotify Luigi PaiTask
- Implementation:Mlc ai Web llm Create Web Worker MLC Engine
Heuristics
- Heuristic:Openai CLIP CLIP Normalization Constants
- Heuristic:Vespa engine Vespa KStemmer Dictionary Loading
- Heuristic:Princeton nlp Tree of thought llm Global State Token Counting
- Heuristic:Mlflow Mlflow Async Logging Best Practices
- Heuristic:Apache Airflow Scheduler Performance Tuning
- Heuristic:LMCache LMCache Memory Fragmentation Budget
- Heuristic:Langgenius Dify SQL Escape Backslash First
- Heuristic:Ollama Ollama VRAM Recovery And Scheduling
- Heuristic:Promptfoo Promptfoo Cache Configuration Tips
- Heuristic:Puppeteer Puppeteer Navigation Race Condition Avoidance
Environments
- Environment:Online ml River Build Toolchain
- Environment:Protectai Llm guard Python Runtime Dependencies
- Environment:Princeton nlp Tree of thought llm Python OpenAI
- Environment:VainF Torch Pruning YOLO Pruning Dependencies
- Environment:Huggingface Alignment handbook Python Transformers
- Environment:Hpcaitech ColossalAI ColossalChat Training Environment
- Environment:Pola rs Polars GPU Execution Environment
- Environment:Axolotl ai cloud Axolotl Multi GPU
- Environment:FlowiseAI Flowise Database Environment
- Environment:Ggml org Ggml Metal GPU Environment