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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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Browse by Category
| 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:Datahub project Datahub Protobuf Schema Ingestion
- Workflow:SeldonIO Seldon core HuggingFace Model Serving
- Workflow:Microsoft Agent framework Basic Agent Creation
- Workflow:Openai Openai agents python Human In The Loop Approval
- Workflow:NVIDIA DALI Image Preprocessing Pipeline
- Workflow:Mlc ai Web llm Chrome Extension Integration
- Workflow:Avhz RustQuant Model Calibration
- Workflow:Arize ai Phoenix Span Annotation Pipeline
- Workflow:Huggingface Optimum Model Export
- Workflow:Speechbrain Speechbrain Speaker Embedding Training
Principles
- Principle:Dagster io Dagster Time Based Partitioning
- Principle:Mlflow Mlflow Trace Destination Configuration
- Principle:Bentoml BentoML Container Image Building
- Principle:Obss Sahi Prediction Merging
- Principle:EvolvingLMMs Lab Lmms eval Experiment Tracking
- Principle:Huggingface Alignment handbook QLoRA Quantized Finetuning
- Principle:OpenRLHF OpenRLHF Knowledge Distillation Training
- Principle:Evidentlyai Evidently Data Schema Definition
- Principle:NVIDIA DALI Anchor Box Encoding
- Principle:ChenghaoMou Text dedup Duplicate Removal And Output
Implementations
- Implementation:TobikoData Sqlmesh Tracker Plan Apply
- Implementation:Vibrantlabsai Ragas MultiModalFaithfulness
- Implementation:Facebookresearch Habitat lab Benchmark init
- Implementation:LMCache LMCache Offload Server Interface
- Implementation:Evidentlyai Evidently Workspace Add Run
- Implementation:Open compass VLMEvalKit VarcoVision
- Implementation:Ray project Ray BaseActorCreator
- Implementation:Heibaiying BigData Notes WordCountMapper Map
- Implementation:Deepspeedai DeepSpeed Memory Access Utils
- Implementation:Hiyouga LLaMA Factory Training Args
Heuristics
- Heuristic:Vespa engine Vespa Maven Parallel Build Optimization
- Heuristic:ChenghaoMou Text dedup SimHash Optimization Ceiling
- Heuristic:ARISE Initiative Robosuite XML Reset Method Tradeoff
- Heuristic:Bigscience workshop Petals Batch Splitting Threshold
- Heuristic:TobikoData Sqlmesh Fork Worker Tuning
- Heuristic:DevExpress Testcafe MacOS Browser Launch Serialization
- Heuristic:OpenRLHF OpenRLHF Packing Samples Efficiency Tip
- Heuristic:CarperAI Trlx Delta Rewards
- Heuristic:Cleanlab Cleanlab Multiprocessing Platform Strategy
- Heuristic:Openai CLIP L2 Normalization For Cosine Similarity
Environments
- Environment:Bitsandbytes foundation Bitsandbytes Build From Source Environment
- Environment:Intel Ipex llm RAG LlamaIndex Environment
- Environment:Testtimescaling Testtimescaling github io Semantic Scholar API
- Environment:Microsoft Onnxruntime Distributed Training Environment
- Environment:Open compass VLMEvalKit GPU CUDA Environment
- Environment:Mistralai Client python Python SDK Environment
- Environment:Microsoft Onnxruntime CUDA GPU Environment
- Environment:Intel Ipex llm XPU Finetuning Environment
- Environment:Neuml Txtai Python Core Dependencies
- Environment:NVIDIA DALI TensorFlow Environment