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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:DataTalksClub Data engineering zoomcamp Spark Batch Processing
- Workflow:Fastai Fastbook Tabular Modeling
- Workflow:Unstructured IO Unstructured Chunking And Embedding
- Workflow:NVIDIA DALI Image Classification Training PyTorch
- Workflow:Openai Evals Creating a model graded eval
- Workflow:EvolvingLMMs Lab Lmms eval Custom Model Integration
- Workflow:Datajuicer Data juicer Dataset Quality Analysis
- Workflow:Apache Druid Batch Data Ingestion
- Workflow:Ggml org Llama cpp Speculative Decoding
- Workflow:NVIDIA DALI Custom Operator Development
Principles
- Principle:Sktime Pytorch forecasting Decomposition Linear
- Principle:FlagOpen FlagEmbedding Package Installation
- Principle:Scikit learn Scikit learn Gaussian Process
- Principle:Huggingface Datasets Arrow File Reading
- Principle:Datajuicer Data juicer Statistics Computation
- Principle:Tensorflow Serving Model Metadata Query
- Principle:Pola rs Polars Timezone Handling
- Principle:CrewAIInc CrewAI Specialist Agent Definition
- Principle:Recommenders team Recommenders NCF Prediction
- Principle:Microsoft Autogen Round Robin Orchestration
Implementations
- Implementation:CARLA simulator Carla MapData
- Implementation:Cohere ai Cohere python Generation Model
- Implementation:Apache Paimon MemorySliceInput
- Implementation:BerriAI Litellm LLM Guard
- Implementation:Cleanlab Cleanlab Segmentation Get Label Quality Scores
- Implementation:Ggml org Ggml Hexagon backend
- Implementation:ArroyoSystems Arroyo Proto Schema Converter
- Implementation:Microsoft Semantic kernel IEmbeddingGenerator GenerateAsync
- Implementation:Ollama Ollama MLXRunner Client
- Implementation:NVIDIA TransformerEngine TE LayerNormMLP
Heuristics
- Heuristic:Google deepmind Dm control Prop Settling Physics Tuning
- Heuristic:Tencent Ncnn Letterbox Vs Direct Resize
- Heuristic:Datahub project Datahub Gradle Task Only
- Heuristic:Avhz RustQuant MC Parallel Path Threshold
- Heuristic:Fede1024 Rust rdkafka Producer Flush Before Drop
- Heuristic:Predibase Lorax Warning Deprecated BitsAndBytes 8bit
- Heuristic:Liu00222 Open Prompt Injection BPE Retokenization Parameters
- Heuristic:Arize ai Phoenix Queue Clear Race Condition
- Heuristic:Eventual Inc Daft Execution Config Tuning
- Heuristic:Apache Flink False Positive Availability Optimization
Environments
- Environment:Kubeflow Pipelines KFP Backend Deployment
- Environment:Isaac sim IsaacGymEnvs IsaacGym Preview 4
- Environment:Volcengine Verl Ray Distributed Environment
- Environment:Google deepmind Mujoco MJX JAX Environment
- Environment:Getgauge Taiko Docker Container
- Environment:Deepspeedai DeepSpeed CPU Environment
- Environment:Vllm project Vllm CUDA GPU Runtime
- Environment:Openai Openai agents python Memory Extensions Dependencies
- Environment:PacktPublishing LLM Engineers Handbook Docker MongoDB Qdrant Infrastructure
- Environment:AnswerDotAI RAGatouille Python ColBERT Dependencies