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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:CrewAIInc CrewAI Sequential Crew Execution
- Workflow:Kubeflow Pipelines Pipeline Control Flow
- Workflow:Langchain ai Langchain Vector Store Operations
- Workflow:Allenai Open instruct Tulu3 Full Post Training
- Workflow:Mit han lab Llm awq HuggingFace Model Export
- Workflow:ARISE Initiative Robomimic Hyperparameter Sweep
- Workflow:Iamhankai Forest of Thought FoT Benchmark Evaluation
- Workflow:Facebookresearch Audiocraft JASCO Conditioned Music Generation
- Workflow:Mlc ai Mlc llm Disaggregated Serving
- Workflow:Trailofbits Fickling PyTorch Payload Injection
Principles
- Principle:Truera Trulens Feedback Display Formatting
- Principle:Deepseek ai Janus Noise Initialization
- Principle:Tensorflow Tfjs Graph Model Inference
- Principle:Tensorflow Tfjs Graph Execution
- Principle:Langgenius Dify Workflow Execution Monitoring
- Principle:Testtimescaling Testtimescaling github io Badge Data Generation
- Principle:ThreeSR Awesome Inference Time Scaling Paper Detail Retrieval
- Principle:Mlfoundations Open flamingo Distributed Result Aggregation
- Principle:FlowiseAI Flowise Document Store Creation
- Principle:Openai CLIP Top K Accuracy Evaluation
Implementations
- Implementation:FlagOpen FlagEmbedding EvalReranker Call
- Implementation:Treeverse LakeFS Java SDK Model IcebergRemoteTable
- Implementation:Pyro ppl Pyro Pyro Distributions
- Implementation:Explodinggradients Ragas LocalCSVBackend Class
- Implementation:Triton inference server Server Ensemble Scheduling Schema
- Implementation:Kserve Kserve ServingRuntime CRD
- Implementation:Zai org CogVideo DDIM Export Latents To Video
- Implementation:Deepspeedai DeepSpeed Real Accelerator
- Implementation:Elevenlabs Elevenlabs python PromptAgentApiModelInput
- Implementation:FMInference FlexLLMGen DeepSpeed Autotuning Utils
Heuristics
- Heuristic:Dagster io Dagster Retry Strategy Configuration
- Heuristic:Langgenius Dify Celery Queue Separation
- Heuristic:FlagOpen FlagEmbedding Temperature Scaling Tip
- Heuristic:Apache Hudi Record Level Index Optimization
- Heuristic:CrewAIInc CrewAI Context Window Management
- Heuristic:Tensorflow Tfjs GPU Pipeline Data Residency
- Heuristic:Mistralai Client python Tool Docstring Requirement
- Heuristic:Kserve Kserve NCCL RoCE Auto Detection
- Heuristic:Speechbrain Speechbrain Nonfinite Loss Handling
- Heuristic:Open compass VLMEvalKit Video Frame Sampling Configuration
Environments
- Environment:Microsoft Playwright Node Runtime Environment
- Environment:Kserve Kserve SRIOV RDMA Network
- Environment:Volcengine Verl vLLM Rollout Environment
- Environment:Evidentlyai Evidently Python Core Environment
- Environment:Huggingface Peft Optional Quantization Backends
- Environment:Nautechsystems Nautilus trader Python Cython Rust Runtime
- Environment:Google deepmind Mujoco C Build Environment
- Environment:LLMBook zh LLMBook zh github io Bitsandbytes Quantization Environment
- Environment:OpenHands OpenHands SaaS Server Environment
- Environment:Google deepmind Mujoco MJX Warp CUDA Environment