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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:Kubeflow Kubeflow Platform Deployment
- Workflow:Fastai Fastbook NLP Text Classification
- Workflow:Ray project Ray Build and Release Pipeline
- Workflow:Huggingface Optimum Accelerated Inference Pipeline
- Workflow:Axolotl ai cloud Axolotl QLoRA SFT Finetuning
- Workflow:Huggingface Diffusers ControlNet Guided Generation
- Workflow:Cohere ai Cohere python Streaming Chat
- Workflow:Microsoft DeepSpeedExamples SuperOffload Finetuning
- Workflow:Huggingface Trl GRPO Training
- Workflow:Openai Openai node Streaming To Client
Principles
- Principle:Mlc ai Web llm Text Completion Configuration
- Principle:Arize ai Phoenix Span Transmission
- Principle:Helicone Helicone Asynchronous Log Queuing
- Principle:NVIDIA DALI PyTorch Iterator
- Principle:Huggingface Datasets Environment Reporting
- Principle:Apache Shardingsphere Configuration Object Conversion
- Principle:Ggml org Ggml Model Architecture Initialization
- Principle:OpenRLHF OpenRLHF SFT Dataset Construction
- Principle:OpenGVLab InternVL SentencePiece BPE Tokenization
- Principle:PrefectHQ Prefect Frontend Build Optimization
Implementations
- Implementation:TobikoData Sqlmesh EditorPreview
- Implementation:Promptfoo Promptfoo Table Renderer
- Implementation:DevExpress Testcafe NativeAutomation ResourceInjector
- Implementation:Tensorflow Serving AspiredVersionsManager
- Implementation:Speechbrain Speechbrain Get Verification Scores
- Implementation:Avhz RustQuant FFT
- Implementation:Scikit learn contrib Imbalanced learn InstanceHardnessCV
- Implementation:Datahub project Datahub InstitutionalMemoryVisitor
- Implementation:Online ml River NeuralNet Activations
- Implementation:Apache Druid WorkbenchHistory
Heuristics
- Heuristic:Tencent Ncnn Letterbox Vs Direct Resize
- Heuristic:Vllm project Vllm GPU Memory Utilization Tuning
- Heuristic:Turboderp org Exllamav2 Quantization Conversion Tips
- Heuristic:LLMBook zh LLMBook zh github io LoRA Initialization Strategy
- Heuristic:Avdvg InjectGuard Module Level Initialization
- Heuristic:Mlfoundations Open flamingo KV Cache Classification Optimization
- Heuristic:Openclaw Openclaw Warning Suppression For Known Deprecations
- Heuristic:FlagOpen FlagEmbedding Length Sorted Batching
- Heuristic:Farama Foundation Gymnasium Shared Memory Vector Env Optimization
- Heuristic:Danijar Dreamerv3 Percentile Return Normalization
Environments
- Environment:Apache Flink Java Build Environment
- Environment:Bigscience workshop Petals Python Hivemind
- Environment:Datahub project Datahub Python Ingestion
- Environment:Predibase Lorax CUDA GPU Runtime
- Environment:Confident ai Deepeval Python 3 9 Runtime
- Environment:Shiyu coder Kronos PyTorch CUDA Environment
- Environment:Ggml org Ggml C Cpp Build Environment
- Environment:Triton inference server Server Docker Container Build
- Environment:Huggingface Trl DeepSpeed Environment
- Environment:CarperAI Trlx NeMo Megatron