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1,118
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:Huggingface Datasets Format Conversion
- Workflow:Kserve Kserve InferenceGraph Pipeline
- Workflow:Trailofbits Fickling Pickle Decompilation and Tracing
- Workflow:Getgauge Taiko Interactive Test Recording
- Workflow:Pytorch Serve Model Deployment
- Workflow:Sdv dev SDV Data quality evaluation
- Workflow:Pola rs Polars Streaming Large Dataset Processing
- Workflow:InternLM Lmdeploy VLM Inference Pipeline
- Workflow:Groq Groq python Text Embedding
- Workflow:Turboderp org Exllamav2 EXL2 Model Conversion
Principles
- Principle:Anthropics Anthropic sdk python Provider Client Initialization
- Principle:Microsoft DeepSpeedExamples ZeRO Model Configuration
- Principle:Ggml org Ggml Graph Computation Execution
- Principle:Facebookresearch Habitat lab Data Recording
- Principle:Apache Paimon Batch Data Writing
- Principle:Lm sys FastChat Arena Usage Statistics
- Principle:Eric mitchell Direct preference optimization Preference Data Format
- Principle:Nightwatchjs Nightwatch Component Test Authoring
- Principle:Apache Airflow Provider Release Process
- Principle:Ollama Ollama Architecture Detection
Implementations
- Implementation:CARLA simulator Carla SensorRegistry
- Implementation:Google deepmind Mujoco MJWarp Collision Primitive
- Implementation:Farama Foundation Gymnasium ArrayConversion
- Implementation:Tensorflow Serving Saved Model Bundle Factory Test
- Implementation:Haosulab ManiSkill PickClutterYCB
- Implementation:Microsoft Agent framework YAML Agent Definition Schema
- Implementation:Microsoft Onnxruntime CPU Scale
- Implementation:BerriAI Litellm Argilla Logger
- Implementation:ARISE Initiative Robosuite MjcfUtils
- Implementation:Recommenders team Recommenders SARSingleNode Recommend K Items
Heuristics
- Heuristic:Guardrails ai Guardrails RAIL Argument Parsing Security
- Heuristic:Recommenders team Recommenders TensorFlow Session Ordering
- Heuristic:Huggingface Datatrove Thundering Herd Prevention
- Heuristic:Hpcaitech ColossalAI CUDA Device Max Connections Tip
- Heuristic:Run llama Llama index Finetuning Warmup Steps
- Heuristic:Mistralai Client python Stream File Uploads
- Heuristic:Google deepmind Dm control MJCF Model Composition Gotchas
- Heuristic:Explodinggradients Ragas Retry And Backoff Configuration
- Heuristic:Apache Paimon Compression Tuning
- Heuristic:Iamhankai Forest of Thought Input Length Overflow Recovery
Environments
- Environment:DataTalksClub Data engineering zoomcamp PySpark Batch Environment
- Environment:Bentoml BentoML Python Runtime
- Environment:NVIDIA NeMo Aligner PyTriton Serving Environment
- Environment:Isaac sim IsaacGymEnvs IsaacGym Preview 4
- Environment:Liu00222 Open Prompt Injection CUDA Environment
- Environment:Alibaba ROLL Diffusion Video Environment
- Environment:Princeton nlp SimPO CUDA Training
- Environment:Shiyu coder Kronos Qlib Data Environment
- Environment:NVIDIA DALI CMake Build Environment
- Environment:Datahub project Datahub Docker Runtime