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1,118
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:Unstructured IO Unstructured Document Partitioning
- Workflow:Bigscience workshop Petals Prompt Tuning Classification
- Workflow:LaurentMazare Tch rs MNIST Training
- Workflow:Lakeraai Pint benchmark Custom System Evaluation
- Workflow:Zai org CogVideo SAT Finetuning
- Workflow:Langfuse Langfuse Batch export pipeline
- Workflow:Google deepmind Dm control Locomotion Task Setup
- Workflow:Rapidsai Cuml Random Forest Training And Inference
- Workflow:Ggml org Llama cpp HF to GGUF Model Conversion
- Workflow:DataTalksClub Data engineering zoomcamp Spark Batch Processing
Principles
- Principle:Langgenius Dify Service Orchestration
- Principle:MaterializeInc Materialize Deployment Configuration Update
- Principle:DataExpert io Data engineer handbook Experiment User Assignment
- Principle:Huggingface Datasets NumPy Formatting
- Principle:Ggml org Llama cpp Diffusion Text Generation
- Principle:Protectai Llm guard Toxicity Detection
- Principle:ThreeSR Awesome Inference Time Scaling CLI Configuration
- Principle:Haotian liu LLaVA Visual Instruction Tuning
- Principle:Unslothai Unsloth Supervised Finetuning
- Principle:NVIDIA DALI CUDA Kernel Implementation
Implementations
- Implementation:Nightwatchjs Nightwatch Assertion Type Definitions
- Implementation:Lance format Lance LegacyBasicEncoding
- Implementation:Danijar Dreamerv3 Parallel Actor
- Implementation:Deepseek ai Janus VLChatProcessor Call
- Implementation:Online ml River Ensemble Boosting
- Implementation:Datahub project Datahub DataHub Frontend Access
- Implementation:Predibase Lorax Flash Phi Modeling
- Implementation:Kserve Kserve Kubeflow RBAC ClusterRoles
- Implementation:Apache Paimon UriReader
- Implementation:Apache Hudi ClusteringCommitSink DoCommit
Heuristics
- Heuristic:Vibrantlabsai Ragas Warning Deprecated V1 Metrics
- Heuristic:Danijar Dreamerv3 Adaptive Gradient Clipping
- Heuristic:Dagster io Dagster Retry Strategy Configuration
- Heuristic:Langgenius Dify Extension Initialization Order
- Heuristic:Eventual Inc Daft Delta Lake S3 Locking
- Heuristic:ARISE Initiative Robomimic Data Worker Tuning By Modality
- Heuristic:OWASP Www project top 10 for large language model applications Deliberately Insecure Code Isolation
- Heuristic:LMCache LMCache Memory Fragmentation Budget
- Heuristic:Huggingface Optimum GPTQ Quantization Defaults
- Heuristic:Bentoml BentoML Adaptive Batching Tuning
Environments
- Environment:Facebookresearch Audiocraft FAD TensorFlow Environment
- Environment:Kserve Kserve SRIOV RDMA Network
- Environment:Openai Openai python Realtime WebSocket
- Environment:Iamhankai Forest of Thought Python CUDA Runtime
- Environment:ArroyoSystems Arroyo Rust Runtime
- Environment:Apache Shardingsphere ZooKeeper Cluster Coordination
- Environment:DataExpert io Data engineer handbook Python Development Environment
- Environment:ThreeSR Awesome Inference Time Scaling Semantic Scholar API Environment
- Environment:Vespa engine Vespa Docker OCI Container Runtime
- Environment:Allenai Open instruct CUDA GPU Training