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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:Gretelai Gretel synthetics ACTGAN Tabular Synthesis
- Workflow:Ggml org Ggml GPT2 Text Generation
- Workflow:Huggingface Peft DreamBooth LoRA Diffusion
- Workflow:Microsoft Onnxruntime Nodejs Inference
- Workflow:Mlc ai Mlc llm Mobile Deployment
- Workflow:Mage ai Mage ai Building a New Destination Connector
- Workflow:Haotian liu LLaVA Single Image Inference
- Workflow:Openai Openai python Fine Tuning Job Management
- Workflow:NVIDIA NeMo Curator Image Curation Pipeline
- Workflow:Hpcaitech ColossalAI DPO Alignment
Principles
- Principle:Microsoft Autogen Function Tool Definition
- Principle:Deepset ai Haystack Embedding Based Retrieval
- Principle:AUTOMATIC1111 Stable diffusion webui Memory Efficient Loading
- Principle:Openclaw Openclaw Extension Configuration
- Principle:LaurentMazare Tch rs Generative Adversarial Network
- Principle:Microsoft Semantic kernel Kernel Construction
- Principle:Infiniflow Ragflow Parser Options Configuration
- Principle:Triton inference server Server Generate API
- Principle:Ucbepic Docetl Document Splitting
- Principle:Apache Dolphinscheduler Plugin Module Structure
Implementations
- Implementation:Rapidsai Cuml GLM Preprocess MG
- Implementation:Iterative Dvc Stage Run
- Implementation:Mit han lab Llm awq Make quant norm
- Implementation:Romsto Speculative Decoding NGramStorage
- Implementation:Huggingface Datasets Sequence
- Implementation:Lm sys FastChat Filter Bad Conv Chat1M
- Implementation:Ggml org Ggml Cpu wasm quants
- Implementation:LaurentMazare Tch rs Layer Norm
- Implementation:Alibaba MNN FlatBuffers Reflection Impl
- Implementation:Langchain ai Langgraph UI Messages
Heuristics
- Heuristic:Mlc ai Web llm Tokenizer JSON Preference
- Heuristic:Ggml org Llama cpp Quantization Quality Tips
- Heuristic:Neuml Txtai Llama Cpp Context Fallback
- Heuristic:Isaac sim IsaacGymEnvs Determinism Performance Tradeoff
- Heuristic:OpenGVLab InternVL Packed Training Buffer Management
- Heuristic:EvolvingLMMs Lab Lmms eval Memory Cleanup After Inference
- Heuristic:Pyro ppl Pyro Guide Initialization Strategy
- Heuristic:LaurentMazare Tch rs Safetensors Format Preference
- Heuristic:Google deepmind Mujoco MJX Benchmarking Tips
- Heuristic:Alibaba MNN NC4HW4 Data Layout
Environments
- Environment:Run llama Llama index Python LlamaIndex Core
- Environment:Spotify Luigi Python Runtime
- Environment:Mlc ai Web llm WebGPU Browser Runtime
- Environment:Intel Ipex llm XPU Serving Environment
- Environment:Fastai Fastbook Python FastAI Environment
- Environment:Microsoft DeepSpeedExamples RLHF Training Environment
- Environment:ClickHouse ClickHouse Python3 Test Environment
- Environment:AnswerDotAI RAGatouille Python ColBERT Dependencies
- Environment:MaterializeInc Materialize Buildkite CI Runtime
- Environment:Openai Whisper Triton