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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:Huggingface Optimum GPTQ Quantization
- Workflow:Langchain ai Langgraph Persistence and Memory Setup
- Workflow:Huggingface Open r1 GRPO Reasoning Training
- Workflow:Axolotl ai cloud Axolotl Multimodal Vision Finetuning
- Workflow:Datajuicer Data juicer LLM Powered Data Generation
- Workflow:Iterative Dvc Experiment Tracking
- Workflow:Google deepmind Mujoco GPU batched simulation MJX
- Workflow:NVIDIA NeMo Curator Text Curation Pipeline
- Workflow:Neuml Txtai Semantic Search
- Workflow:Mbzuai oryx Awesome LLM Post training Awesome List Curation
Principles
- Principle:FlagOpen FlagEmbedding Retrieval Augmented Evaluation
- Principle:Mlflow Mlflow Trace Destination Configuration
- Principle:Huggingface Optimum Backend Pipeline Dispatch
- Principle:DistrictDataLabs Yellowbrick Dataset Management
- Principle:Intel Ipex llm RAG Chain Assembly
- Principle:ArroyoSystems Arroyo Steady State Processing
- Principle:Google deepmind Mujoco SIMD Optimization
- Principle:ClickHouse ClickHouse Nfpm Package Generation
- Principle:Sail sg LongSpec VLLM Inference Client
- Principle:BerriAI Litellm Error Handling
Implementations
- Implementation:Mlc ai Mlc llm Eagle Batch Draft
- Implementation:Huggingface Peft PromptEncoderConfig
- Implementation:OpenGVLab InternVL MMBench VQA Inference
- Implementation:BerriAI Litellm Batch Utils
- Implementation:Datajuicer Data juicer TextActionFilter
- Implementation:NVIDIA DALI C API V2 Init
- Implementation:CARLA simulator Carla Sensor Stop Destroy
- Implementation:Langgenius Dify App Layout
- Implementation:Open compass VLMEvalKit BMMR Utils
- Implementation:Predibase Lorax EETQ Linear
Heuristics
- Heuristic:Google deepmind Dm control Tolerance Reward Tuning
- Heuristic:Liu00222 Open Prompt Injection Defense Strategy Selection
- Heuristic:ContextualAI HALOs TF32 Matmul Acceleration
- Heuristic:Langchain ai Langgraph Deprecation Migration Guide
- Heuristic:Apache Spark Partition Sizing Tips
- Heuristic:Open compass VLMEvalKit Judge Model Selection By Dataset
- Heuristic:Interpretml Interpret EBM Hyperparameter Tuning Guide
- Heuristic:Apache Airflow Task Idempotency Pattern
- Heuristic:Langchain ai Langchain Deprecation Version Tracking
- Heuristic:ARISE Initiative Robosuite XML Reset Method Tradeoff
Environments
- Environment:Anthropics Anthropic sdk python GCP Vertex Environment
- Environment:Lm sys FastChat API Keys And Credentials
- Environment:Neuml Txtai Python Core Dependencies
- Environment:Ray project Ray CI Build Matrix Environment
- Environment:Sgl project Sglang Performance Dashboard
- Environment:Vllm project Vllm AArch64 CPU
- Environment:Haifengl Smile Java 25 Runtime
- Environment:Huggingface Trl Python Core Dependencies
- Environment:Sgl project Sglang ROCm
- Environment:Guardrails ai Guardrails Python 3 10 Runtime