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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:Heibaiying BigData Notes Kafka Producer Consumer Pipeline
- Workflow:Dotnet Machinelearning Time Series Forecasting
- Workflow:OpenHands OpenHands Organization Onboarding
- Workflow:Guardrails ai Guardrails Structured Data Generation
- Workflow:Togethercomputer Together python Image Generation
- Workflow:Kubeflow Kubeflow Platform Deployment
- Workflow:Wandb Weave LLM Integration Tracing
- Workflow:Cleanlab Cleanlab Multiannotator Consensus
- Workflow:InternLM Lmdeploy W4A16 AWQ Quantization
- Workflow:Unslothai Unsloth QLoRA SFT Finetuning
Principles
- Principle:Cypress io Cypress Cloud Telemetry Recording
- Principle:Eventual Inc Daft Session Management
- Principle:Webdriverio Webdriverio WebDriver Bidi Protocol
- Principle:Testtimescaling Testtimescaling github io Repository Checkout
- Principle:Huggingface Datatrove Line Level Statistics
- Principle:OpenRLHF OpenRLHF Ray Cluster Initialization
- Principle:Avhz RustQuant Root Finding
- Principle:Shiyu coder Kronos Qlib Training Dataset
- Principle:Mlc ai Web llm Tool Execution Loop
- Principle:Ollama Ollama GGUF Model Conversion Llama Adapter
Implementations
- Implementation:FlowiseAI Flowise EvaluationResultVersionsSideDrawer
- Implementation:NVIDIA NeMo Curator NSFWScorer
- Implementation:OpenGVLab InternVL InternVLChatModel From Pretrained
- Implementation:Marker Inc Korea AutoRAG Raw And Corpus Schema
- Implementation:Deepset ai Haystack FileTypeRouter
- Implementation:Spcl Graph of thoughts Parser ABC
- Implementation:Eventual Inc Daft DataFrame With Column
- Implementation:Rapidsai Cuml GLM C API
- Implementation:Microsoft DeepSpeedExamples HelloDeepSpeed Train Bert DS
- Implementation:Apache Paimon Schema With Lance Format
Heuristics
- Heuristic:Microsoft DeepSpeedExamples LoRA Learning Rate Scaling
- Heuristic:Fastai Fastbook Weight Decay Tuning
- Heuristic:Rapidsai Cuml Float64 Kernel Stability
- Heuristic:Iamhankai Forest of Thought UCB Exploration Constant
- Heuristic:OpenRLHF OpenRLHF Adam Offload Memory Tip
- Heuristic:ClickHouse ClickHouse Test Writing Conventions
- Heuristic:Gretelai Gretel synthetics Parallel Generation CUDA Disable
- Heuristic:Infiniflow Ragflow Reranking Weight Tuning
- Heuristic:Ggml org Ggml Memory Allocation Strategy
- Heuristic:Mlc ai Mlc llm FlashInfer KV Cache Fallback
Environments
- Environment:Apache Paimon Cloud Storage Credentials
- Environment:Speechbrain Speechbrain Speech Enhancement Dependencies
- Environment:Cypress io Cypress Linux Display Server
- Environment:Mlc ai Mlc llm WebGPU Browser Environment
- Environment:Deepspeedai DeepSpeed NVMe Environment
- Environment:Intel Ipex llm NPU Cpp Environment
- Environment:Vllm project Vllm CPU Runtime
- Environment:Mlfoundations Open flamingo WebDataset Training Dependencies
- Environment:TobikoData Sqlmesh Web UI Stack
- Environment:Mistralai Client python GCP Deployment Environment