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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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|---|---|---|
| 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:Avdvg InjectGuard Vector Similarity Detection Pipeline
- Workflow:Allenai Open instruct Reward Model Training
- Workflow:Predibase Lorax Single LoRA Inference
- Workflow:Explodinggradients Ragas Metric Prompt Optimization
- Workflow:Vespa engine Vespa Document indexing pipeline
- Workflow:Norrrrrrr lyn WAInjectBench Image Prompt Injection Detection
- Workflow:Mlfoundations Open flamingo Distributed Training
- Workflow:Huggingface Datatrove Dataset Tokenization
- Workflow:Mlc ai Mlc llm Disaggregated Serving
- Workflow:Run llama Llama index Data Ingestion Pipeline
Principles
- Principle:DataExpert io Data engineer handbook DataFrame Write To Table
- Principle:Openai Evals Eval Set Resolution
- Principle:Snorkel team Snorkel Dict Dataset Preparation
- Principle:Mistralai Client python Azure Client Initialization
- Principle:Microsoft Semantic kernel Function Choice Behavior
- Principle:Deepspeedai DeepSpeed Mesh Device Configuration
- Principle:Volcengine Verl Reward Configuration Schema
- Principle:LaurentMazare Tch rs Operator Overloading
- Principle:Ollama Ollama Model Loading And GPU Scheduling
- Principle:Microsoft Playwright Implement Response Fixtures
Implementations
- Implementation:Allenai Open instruct Save Final Model
- Implementation:Online ml River Tree Splitter Random
- Implementation:Google deepmind Mujoco MjThread Header
- Implementation:Microsoft DeepSpeedExamples Domino GPT Model
- Implementation:Sgl project Sglang Sgl Gen Constrained
- Implementation:Interpretml Interpret BinSumsInteraction
- Implementation:Hpcaitech ColossalAI MMLUDataset
- Implementation:DataTalksClub Data engineering zoomcamp Airflow GCS To BQ DAG
- Implementation:Online ml River Bandit Datasets Base
- Implementation:DistrictDataLabs Yellowbrick ValidationCurve Visualizer
Heuristics
- Heuristic:Ray project Ray Serve Concurrency And Backpressure
- Heuristic:InternLM Lmdeploy OOM Troubleshooting
- Heuristic:Triton inference server Server Server Default Configuration
- Heuristic:Deepspeedai DeepSpeed FP16 Convergence Tips
- Heuristic:InternLM Lmdeploy Max Batch Size Selection
- Heuristic:Mlflow Mlflow Batch Logging Size Limits
- Heuristic:OpenBMB UltraFeedback Principle Distribution Tuning
- Heuristic:Unslothai Unsloth Gradient Accumulation Accuracy
- Heuristic:Pola rs Polars Avoid Lambda In Aggregation
- Heuristic:NVIDIA NeMo Aligner DPO Sequence Packing Tips
Environments
- Environment:Huggingface Alignment handbook PyTorch CUDA
- Environment:Deepset ai Haystack OpenAI API Environment
- Environment:Sgl project Sglang Kubernetes
- Environment:Mbzuai oryx Awesome LLM Post training Python Pandas
- Environment:PeterL1n BackgroundMattingV2 PyTorch CUDA
- Environment:NVIDIA NeMo Curator Video Codec Stack
- Environment:Intel Ipex llm vLLM XPU Serving Environment
- Environment:Langfuse Langfuse S3 Compatible Storage
- Environment:Getgauge Taiko Linux System Libraries
- Environment:Openai Evals Python Runtime