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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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Browse by Category
| 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 Openai python Fine Tuning Job Management
- Workflow:Recommenders team Recommenders Algorithm Benchmarking
- Workflow:Apache Shardingsphere Metadata DDL Refresh
- Workflow:Openai Openai python Realtime Conversation
- Workflow:Kubeflow Pipelines Iterative Model Training
- Workflow:PeterL1n BackgroundMattingV2 Model export
- Workflow:Apache Dolphinscheduler Datasource Plugin Development
- Workflow:Onnx Onnx Model Validation
- Workflow:Apache Shardingsphere Shadow Rule Configuration
- Workflow:Togethercomputer Together python Embeddings And Reranking
Principles
- Principle:OpenHands OpenHands Permission Check
- Principle:Helicone Helicone Query Filtering
- Principle:Eventual Inc Daft Struct And List Access
- Principle:Apache Kafka Squash Merge
- Principle:LaurentMazare Tch rs Stable Diffusion
- Principle:Scikit learn contrib Imbalanced learn Combined Over Under Sampling
- Principle:Run llama Llama index Embedding Finetune Execution
- Principle:Sgl project Sglang Constrained Text Generation
- Principle:Mbzuai oryx Awesome LLM Post training Collection Parameter Configuration
- Principle:Farama Foundation Gymnasium Discrete Action Space
Implementations
- Implementation:Confident ai Deepeval KeyFileHandler
- Implementation:Microsoft Onnxruntime CPU TrainingConcat
- Implementation:Ray project Ray BaseId
- Implementation:OWASP Www project top 10 for large language model applications Invoice Agent Main
- Implementation:LaurentMazare Tch rs Tensor Iter
- Implementation:CARLA simulator Carla Signal
- Implementation:Bentoml BentoML Depends Function
- Implementation:Huggingface Diffusers Custom Init Isort
- Implementation:Dotnet Machinelearning SymSgdNative
- Implementation:Duckdb Duckdb Miniz Compression
Heuristics
- Heuristic:Bigscience workshop Petals NF4 Quantization Default On CUDA
- Heuristic:Vibrantlabsai Ragas Reasoning Model Parameter Constraints
- Heuristic:Apache Beam Executor Shutdown Ordering
- Heuristic:Snorkel team Snorkel NLP Preprocessor Memoization
- Heuristic:Snorkel team Snorkel LabelModel Mu Eps Clamping
- Heuristic:BerriAI Litellm Cooldown Threshold Tuning
- Heuristic:Duckdb Duckdb Build Parallelism Tuning
- Heuristic:Pyro ppl Pyro Gradient Variance Reduction
- Heuristic:InternLM Lmdeploy Max Batch Size Selection
- Heuristic:OpenRLHF OpenRLHF Gradient Checkpointing Memory Tip
Environments
- Environment:Googleapis Python genai Vertex AI Service Account
- Environment:Allenai Open instruct vLLM Inference
- Environment:Lance format Lance Rust Toolchain
- Environment:Sktime Pytorch forecasting Cpflows MQF2 Dependencies
- Environment:ThreeSR Awesome Inference Time Scaling Python Runtime Environment
- Environment:Mlfoundations Open flamingo Evaluation Dependencies
- Environment:Huggingface Diffusers PyTorch CUDA Runtime
- Environment:Kubeflow Pipelines Kubernetes Cluster
- Environment:OpenBMB UltraFeedback vLLM Multi GPU Environment
- Environment:Eric mitchell Direct preference optimization HuggingFace Transformers