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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:Triton inference server Server LLM Deployment With TRT LLM
- Workflow:Google deepmind Mujoco Offscreen video recording
- Workflow:Ggml org Llama cpp Interactive Chat
- Workflow:Axolotl ai cloud Axolotl QLoRA SFT Finetuning
- Workflow:Langfuse Langfuse Batch export pipeline
- Workflow:Marker Inc Korea AutoRAG RAG Pipeline Optimization
- Workflow:InternLM Lmdeploy LLM Offline Batch Inference
- Workflow:Nautechsystems Nautilus trader Backtest with BacktestNode
- Workflow:DevExpress Testcafe CLI Test Execution
- Workflow:Langfuse Langfuse Otel ingestion pipeline
Principles
- Principle:DevExpress Testcafe Browser Provider Selection
- Principle:Ollama Ollama Integrity Verification
- Principle:Apache Hudi Compaction Commit
- Principle:Kserve Kserve Controller Reconciliation
- Principle:Datahub project Datahub Pipeline Execution
- Principle:Mit han lab Llm awq Quantized Weight Loading
- Principle:Guardrails ai Guardrails LLM Validation Wrapping
- Principle:Cypress io Cypress Testing Type Selection
- Principle:Duckdb Duckdb Lock Free Concurrency
- Principle:Dagster io Dagster ML Model Lifecycle
Implementations
- Implementation:Speechbrain Speechbrain Prepare Voicebank MTL
- Implementation:ArroyoSystems Arroyo Confluent Connector
- Implementation:SeldonIO Seldon core Seldon Pipeline CRD Multi Modal
- Implementation:CARLA simulator Carla Command SpawnActor Then
- Implementation:Openai Whisper Meanwhile Dataset
- Implementation:FlagOpen FlagEmbedding BGE Finetune Data
- Implementation:Datahub project Datahub MLModelGroup Entity
- Implementation:Trailofbits Fickling Identify Pytorch File Format
- Implementation:Sdv dev SDV Evaluate Quality Multi Table
- Implementation:NVIDIA TransformerEngine Recipe C API
Heuristics
- Heuristic:Isaac sim IsaacGymEnvs DR Setup Only Flag
- Heuristic:Lm sys FastChat GPU Memory Allocation Strategy
- Heuristic:Speechbrain Speechbrain Dynamic Mixing Parameters
- Heuristic:Kserve Kserve Server Side Apply For CRDs
- Heuristic:Scikit learn Scikit learn Warning Deprecated PassiveAggressive
- Heuristic:Google deepmind Mujoco MJX Feature Compatibility
- Heuristic:Isaac sim IsaacGymEnvs Determinism Performance Tradeoff
- Heuristic:Huggingface Alignment handbook Gradient Checkpointing Use Cache
- Heuristic:FMInference FlexLLMGen Sequence Length Alignment
- Heuristic:Vibrantlabsai Ragas Reasoning Model Parameter Constraints
Environments
- Environment:Open compass VLMEvalKit API Keys And Credentials
- Environment:Axolotl ai cloud Axolotl Multi GPU
- Environment:Heibaiying BigData Notes Java 8 Maven Environment
- Environment:Infiniflow Ragflow Frontend Node Environment
- Environment:Junyanz Pytorch CycleGAN and pix2pix Python PyTorch Runtime
- Environment:Ucbepic Docetl Frontend Node Environment
- Environment:Groq Groq python Python Groq SDK
- Environment:Trailofbits Fickling Python Runtime
- Environment:Vllm project Vllm Intel XPU
- Environment:Microsoft Semantic kernel OpenAI API Environment