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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:ChenghaoMou Text dedup MinHash LSH Deduplication
- Workflow:NVIDIA TransformerEngine Comm GEMM Overlap Training
- Workflow:Guardrails ai Guardrails Streaming Validation
- Workflow:Heibaiying BigData Notes Kafka Producer Consumer Pipeline
- Workflow:Guardrails ai Guardrails Structured Data Generation
- Workflow:Marker Inc Korea AutoRAG Data Creation Pipeline
- Workflow:Microsoft Agent framework Basic Agent Creation
- Workflow:Sktime Pytorch forecasting TFT Hyperparameter Optimization
- Workflow:Snorkel team Snorkel Weak Supervision Pipeline
- Workflow:Langgenius Dify Plugin Installation and Configuration
Principles
- Principle:Guardrails ai Guardrails Container Deployment
- Principle:Apache Flink Bucket Assignment
- Principle:Langgenius Dify Plugin Discovery
- Principle:Mage ai Mage ai Source Lifecycle Orchestration
- Principle:Gretelai Gretel synthetics Batch Model Training
- Principle:Langgenius Dify Workflow Initialization
- Principle:Cleanlab Cleanlab Issue Reporting
- Principle:Online ml River Bandit Datasets
- Principle:Ollama Ollama GGUF Model Conversion Gemma
- Principle:Online ml River Online Recommendation
Implementations
- Implementation:ARISE Initiative Robosuite RobotModel
- Implementation:Ggml org Ggml Cpu x86 repack
- Implementation:Microsoft Playwright VideoRecorder
- Implementation:Ggml org Llama cpp Ngram Cache Header
- Implementation:DevExpress Testcafe Request TypeDefs
- Implementation:Hiyouga LLaMA Factory Hparams Parser
- Implementation:Huggingface Diffusers SDXL Pipeline Call
- Implementation:Run llama Llama index Metadata Extractors
- Implementation:Interpretml Interpret Objective Framework
- Implementation:Treeverse LakeFS UploadObject
Heuristics
- Heuristic:Neuml Txtai Llama Cpp Context Fallback
- Heuristic:DataTalksClub Data engineering zoomcamp GCS Upload Timeout Workaround
- Heuristic:Lakeraai Pint benchmark Chunking Stride 25 Percent Overlap
- Heuristic:NVIDIA NeMo Aligner PPO Critic Warmup Tip
- Heuristic:Huggingface Datatrove Thundering Herd Prevention
- Heuristic:Farama Foundation Gymnasium Seeding Determinism Best Practices
- Heuristic:Vespa engine Vespa KStemmer Dictionary Loading
- Heuristic:Avhz RustQuant Discretization Scheme Selection
- Heuristic:Mbzuai oryx Awesome LLM Post training Reference Citation Cap 200
- Heuristic:Tencent Ncnn FP16 Precision Selection
Environments
- Environment:Online ml River Build Toolchain
- Environment:Langchain ai Langgraph Postgres Checkpoint Environment
- Environment:Apache Hudi Java Maven Build Environment
- Environment:Rapidsai Cuml Python RAPIDS Stack
- Environment:Dotnet Machinelearning Platform Architecture Support
- Environment:Vllm project Vllm Python
- Environment:OpenRLHF OpenRLHF Ray Distributed Environment
- Environment:Kubeflow Pipelines Kubernetes Cluster
- Environment:Vllm project Vllm Distributed
- Environment:Lucidrains X transformers PyTorch CUDA