Main Page
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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:Vibrantlabsai Ragas Custom Metric Creation
- Workflow:Allenai Open instruct Reward Model Training
- Workflow:Microsoft Playwright API testing
- Workflow:Deepspeedai DeepSpeed Sequence Parallel Long Context Training
- Workflow:Haifengl Smile SQL Analytics Pipeline
- Workflow:Googleapis Python genai Context Caching
- Workflow:Google deepmind Dm control Composer Environment Building
- Workflow:Guardrails ai Guardrails Streaming Validation
- Workflow:Zai org CogVideo Diffusers Text to Video Inference
- Workflow:Apache Hudi Flink Table Clustering
Principles
- Principle:Iamhankai Forest of Thought Expression Validation
- Principle:Googleapis Python genai Manual Function Execution
- Principle:Mlfoundations Open flamingo Distributed Training Setup
- Principle:OpenRLHF OpenRLHF Process Reward Dataset Construction
- Principle:Deepspeedai DeepSpeed CPU SIMD Optimizers
- Principle:Googleapis Python genai Tool Definition
- Principle:Bentoml BentoML Model Versioning
- Principle:Mit han lab Llm awq Weight Clipping Optimization
- Principle:Kserve Kserve Model Packaging
- Principle:Helicone Helicone Verification and Testing
Implementations
- Implementation:Microsoft Onnxruntime Checkpoint API
- Implementation:NVIDIA DALI EfficientDet Dataloader
- Implementation:Online ml River Bandit Envs KArmedTestbed
- Implementation:Mlc ai Mlc llm Lift Global Buffer Alloc
- Implementation:Kubeflow Pipelines Dsl ExitHandler
- Implementation:VainF Torch Pruning Measure Latency
- Implementation:Hiyouga LLaMA Factory Base Engine
- Implementation:Tensorflow Tfjs Rescaling Layer
- Implementation:Microsoft Playwright CrBrowser
- Implementation:Explodinggradients Ragas RAG Query Function Pattern
Heuristics
- Heuristic:Bitsandbytes foundation Bitsandbytes CuBLAS Int8 Dimension Alignment
- Heuristic:Unslothai Unsloth Gradient Checkpointing Modes
- Heuristic:Apache Hudi Compaction Scheduling Safety
- Heuristic:Allenai Open instruct Logprob Clamping
- Heuristic:Alibaba MNN NC4HW4 Data Layout
- Heuristic:SeleniumHQ Selenium Warning Deprecated HasDownloads GetDownloadableFiles
- Heuristic:Ucbepic Docetl Validation Retry Strategy
- Heuristic:Protectai Modelscan Unknown Opcodes Assume Critical
- Heuristic:Ucbepic Docetl Rate Limit Exponential Backoff
- Heuristic:LLMBook zh LLMBook zh github io LoRA Initialization Strategy
Environments
- Environment:Microsoft Agent framework Core Package Dependencies
- Environment:ThreeSR Awesome Inference Time Scaling Python Runtime Environment
- Environment:Sail sg LongSpec Inference Environment
- Environment:Predibase Lorax Docker Container Runtime
- Environment:Vespa engine Vespa CMake Cpp23 Build Environment
- Environment:Mlflow Mlflow Python Runtime Environment
- Environment:Apache Beam Java Build Environment
- Environment:Neuml Txtai API Server Configuration
- Environment:Snorkel team Snorkel Dask Distributed
- Environment:NVIDIA DALI TensorFlow Environment