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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:PrefectHQ Prefect Dbt Model Orchestration
- Workflow:Mit han lab Llm awq AWQ Model Quantization
- Workflow:Intel Ipex llm QLoRA Finetuning
- Workflow:Bitsandbytes foundation Bitsandbytes 8bit Optimizer Training
- Workflow:Cleanlab Cleanlab Token Classification Label Quality
- Workflow:Run llama Llama index ReAct Agent
- Workflow:Huggingface Transformers Model Training With Trainer
- Workflow:OWASP Www project top 10 for large language model applications Agentic Security Assessment
- Workflow:Predibase Lorax Single LoRA Inference
- Workflow:Ray project Ray Serve Deployment
Principles
- Principle:Obss Sahi Model Weight Download
- Principle:Anthropics Anthropic sdk python Provider API Interaction
- Principle:Sktime Pytorch forecasting Dense Encoder Decoder
- Principle:Huggingface Diffusers ControlNet Architecture
- Principle:Pytorch Serve IPEX Quantized Inference
- Principle:Openclaw Openclaw Message Ingestion
- Principle:Apache Dolphinscheduler DataSource Processor Implementation
- Principle:Huggingface Transformers Benchmark Model Loading
- Principle:Facebookresearch Habitat lab HRL Configuration Composition
- Principle:LaurentMazare Tch rs Seq2Seq Attention Translation
Implementations
- Implementation:Predibase Lorax Flash GPT2 Modeling
- Implementation:Pola rs Polars Streaming Show Graph
- Implementation:Pyro ppl Pyro MultiOptimizer
- Implementation:LaurentMazare Tch rs CModule Load
- Implementation:Microsoft LoRA GPT2 Decode Script
- Implementation:TobikoData Sqlmesh Context Audit
- Implementation:Kornia Kornia Hausdorff Loss
- Implementation:CARLA simulator Carla Recorder Comparer Tool
- Implementation:NVIDIA NeMo Curator ShuffleAdapter
- Implementation:Sgl project Sglang GEMM Universal Base Compat
Heuristics
- Heuristic:Mlc ai Mlc llm GPU Memory Budget Tuning
- Heuristic:Deepspeedai DeepSpeed ZeRO Pipeline Incompatibility
- Heuristic:Langchain ai Langchain Warning Deprecated Langchain Classic
- Heuristic:Marker Inc Korea AutoRAG Deterministic Evaluation Generation
- Heuristic:Openai CLIP JIT Vs Non JIT Loading
- Heuristic:EvolvingLMMs Lab Lmms eval Request Caching Strategy
- Heuristic:DistrictDataLabs Yellowbrick Matplotlib rcParams Management
- Heuristic:Kubeflow Pipelines Resource Sizing For Components
- Heuristic:Onnx Onnx Protobuf 2GB Limit Workaround
- Heuristic:Apache Druid Auto Granularity Selection
Environments
- Environment:Cypress io Cypress Node Runtime Environment
- Environment:Truera Trulens Python Core Environment
- Environment:Dagster io Dagster DAGSTER HOME Configuration
- Environment:Heibaiying BigData Notes Storm 1 2 Environment
- Environment:DistrictDataLabs Yellowbrick Optional NLP Dependencies
- Environment:Intel Ipex llm RAG LlamaIndex Environment
- Environment:Vllm project Vllm ROCm
- Environment:Dagster io Dagster Python 3 10 Runtime
- Environment:Alibaba MNN Python Export Environment
- Environment:Apache Hudi Java Maven Build Environment