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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:Googleapis Python genai Context Caching
- Workflow:CarperAI Trlx PPO Sentiment Training
- Workflow:Cohere ai Cohere python Semantic Search With Rerank
- Workflow:Onnx Onnx Model Composition
- Workflow:Googleapis Python genai Multi Turn Chat
- Workflow:Openai Evals Creating a model graded eval
- Workflow:Liu00222 Open Prompt Injection DataSentinel Detection
- Workflow:Langchain ai Langchain Release Process
- Workflow:Openai Openai python Embeddings Generation
- Workflow:Ggml org Ggml MNIST Training And Evaluation
Principles
- Principle:Datajuicer Data juicer Operator Instantiation
- Principle:Kserve Kserve Model Packaging
- Principle:Huggingface Peft Adapter Injection
- Principle:Guardrails ai Guardrails HubPackageManagement
- Principle:Huggingface Diffusers Quantization Backend Selection
- Principle:Huggingface Trl GRPO Argument Configuration
- Principle:Ucbepic Docetl Pandas Semantic Operations
- Principle:Helicone Helicone Unified Model Layer
- Principle:Ggml org Ggml SIMD Abstraction
- Principle:DataTalksClub Data engineering zoomcamp Pipeline Containerization
Implementations
- Implementation:Ggml org Ggml Cpu simd mappings
- Implementation:Sgl project Sglang OpenAI Client Setup
- Implementation:Google deepmind Mujoco MJX Collision Driver
- Implementation:Pyro ppl Pyro TraceTMC ELBO
- Implementation:Online ml River Bandit Envs CandyCane
- Implementation:Ollama Ollama Sampler Sample
- Implementation:Triton inference server Server AddCopyright
- Implementation:Bentoml BentoML Internal Types
- Implementation:Google deepmind Dm control MJCF Export
- Implementation:CARLA simulator Carla BlueprintLibrary Find For Sensors
Heuristics
- Heuristic:Lance format Lance BM25 FTS Configuration
- Heuristic:SeldonIO Seldon core Model Scheduling Preference Tip
- Heuristic:Infiniflow Ragflow Embedding Batch Size Constraint
- Heuristic:Huggingface Datatrove Gopher Quality Thresholds
- Heuristic:Pyro ppl Pyro Gradient Variance Reduction
- Heuristic:Junyanz Pytorch CycleGAN and pix2pix Adam Beta1 Half
- Heuristic:Apache Hudi Data Skipping Limitations
- Heuristic:NVIDIA NeMo Aligner Warning Deprecated Repository
- Heuristic:Mage ai Mage ai Batch Size Tuning
- Heuristic:Intel Ipex llm LoRA Target All Linear Layers
Environments
- Environment:Apache Shardingsphere Java Runtime Environment
- Environment:PacktPublishing LLM Engineers Handbook API Credentials
- Environment:Langfuse Langfuse ClickHouse Analytics
- Environment:Lance format Lance SIMD And Platform Requirements
- Environment:VainF Torch Pruning YOLO Pruning Dependencies
- Environment:Apache Kafka Release Toolchain Environment
- Environment:Truera Trulens Streamlit Dashboard Environment
- Environment:Speechbrain Speechbrain PyTorch CUDA Runtime
- Environment:Unstructured IO Unstructured OpenAI API
- Environment:Openai Openai agents python Python 3 9 Runtime