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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:Openai Evals Running a single eval
- Workflow:Isaac sim IsaacGymEnvs Factory Assembly Training
- Workflow:Bigscience workshop Petals Server Contribution
- Workflow:Mlc ai Web llm Function Calling
- Workflow:Lucidrains X transformers DPO Preference Alignment
- Workflow:Microsoft BIPIA Attack Success Rate Evaluation
- Workflow:Recommenders team Recommenders Algorithm Benchmarking
- Workflow:TobikoData Sqlmesh Model development and testing
- Workflow:AnswerDotAI RAGatouille ColBERT Training
- Workflow:Apache Airflow Provider Distribution Development
Principles
- Principle:Scikit learn Scikit learn Discriminant Analysis
- Principle:Spotify Luigi Distributed Processing
- Principle:Huggingface Optimum Sharded Weight Loading
- Principle:Langgenius Dify ErrorHandling
- Principle:Helicone Helicone API Specification
- Principle:Axolotl ai cloud Axolotl Vision Language Model Loading
- Principle:Langgenius Dify Debug Console Testing
- Principle:Ray project Ray Ray Runtime Initialization
- Principle:Axolotl ai cloud Axolotl Documentation Generation
- Principle:EvolvingLMMs Lab Lmms eval Task Selection
Implementations
- Implementation:Open compass VLMEvalKit ReasonMap Plus
- Implementation:Google deepmind Dm control Primitive Prop
- Implementation:TobikoData Sqlmesh EditorTab
- Implementation:EvolvingLMMs Lab Lmms eval Lmms Is Simple
- Implementation:Ggml org Llama cpp Lookup Stats
- Implementation:Lance format Lance Java ScanOptions
- Implementation:Ggml org Llama cpp Convert HF To GGUF Update
- Implementation:NVIDIA DALI FP16 Utilities
- Implementation:Openai Whisper DecodingTask Run
- Implementation:Evidentlyai Evidently Legacy IsValidPython Feature
Heuristics
- Heuristic:Pytorch Serve Batch Size Tuning
- Heuristic:Apache Dolphinscheduler Load Balancer Strategy Selection
- Heuristic:HKUDS AI Trader A Share Lot Size Rule
- Heuristic:FMInference FlexLLMGen Offloading Percent Tuning
- Heuristic:DistrictDataLabs Yellowbrick Scikit Learn API Compatibility
- Heuristic:Speechbrain Speechbrain Separation Loss Filtering
- Heuristic:Ggml org Ggml Memory Allocation Strategy
- Heuristic:Cohere ai Cohere python HTTP Retry Backoff Strategy
- Heuristic:Microsoft LoRA Fan In Fan Out Transpose
- Heuristic:Fede1024 Rust rdkafka Transaction Error Recovery
Environments
- Environment:Haifengl Smile Java 25 Runtime
- Environment:Openai CLIP Python Dependencies
- Environment:Fede1024 Rust rdkafka CI Test Runner
- Environment:ClickHouse ClickHouse CI Docker Environment
- Environment:Vibrantlabsai Ragas Optional NLP Metrics Environment
- Environment:Intel Ipex llm NPU Environment
- Environment:Openai Openai agents python Voice Dependencies
- Environment:Treeverse LakeFS LakeFS Server Environment
- Environment:Sgl project Sglang CPU Runtime
- Environment:Snorkel team Snorkel PySpark