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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:Cypress io Cypress Project Setup and Configuration
- Workflow:ArroyoSystems Arroyo Local Pipeline Execution
- Workflow:Openai Whisper Language Detection And Decoding
- Workflow:Apache Dolphinscheduler Datasource Connection Management
- Workflow:Cohere ai Cohere python Text Embedding
- Workflow:Kubeflow Kubeflow Platform Deployment
- Workflow:Openai Whisper Word Level Timestamps
- Workflow:Apache Spark Building and Testing
- Workflow:Axolotl ai cloud Axolotl Full Finetuning Distributed
- Workflow:Huggingface Alignment handbook ORPO Single Stage Alignment
Principles
- Principle:CARLA simulator Carla Client Server Connection
- Principle:Evidentlyai Evidently Text Quality Reporting
- Principle:Intel Ipex llm Hybrid CPU GPU Inference
- Principle:Getgauge Taiko Request Blocking
- Principle:Huggingface Datasets Dataset Item Access
- Principle:Unslothai Unsloth MoE Expert Routing
- Principle:Romsto Speculative Decoding Encoder Decoder Speculative Decoding
- Principle:Microsoft Agent framework Handler Declaration
- Principle:Online ml River Bandit Environments
- Principle:Ggml org Llama cpp Sampling
Implementations
- Implementation:Google deepmind Mujoco Engine Derivative FD
- Implementation:ArroyoSystems Arroyo Iceberg Transforms
- Implementation:Huggingface Peft PeftModel Save Load
- Implementation:Openai Openai node Beta Realtime TranscriptionSessions
- Implementation:Avhz RustQuant OptionContract
- Implementation:HKUDS AI Trader MCPServiceManager Start All Services
- Implementation:AnswerDotAI RAGatouille RAGPretrainedModel Add To Index
- Implementation:Isaac sim IsaacGymEnvs MotionLib
- Implementation:Axolotl ai cloud Axolotl Prepare Optim Env
- Implementation:MarketSquare Robotframework browser Network Idle Transformer
Heuristics
- Heuristic:Unstructured IO Unstructured Warning Deprecated Staging Base
- Heuristic:FlowiseAI Flowise Tool Ordering Convention
- Heuristic:Diagram of thought Diagram of thought Typed Records For Auditability
- Heuristic:Sktime Pytorch forecasting Learning Rate Scheduling
- Heuristic:Danijar Dreamerv3 Symlog TwoHot Prediction
- Heuristic:ThreeSR Awesome Inference Time Scaling Duplicate Detection By Title
- Heuristic:Bitsandbytes foundation Bitsandbytes Compute Dtype Mismatch Warning
- Heuristic:Eventual Inc Daft Execution Config Tuning
- Heuristic:Intel Ipex llm Llama Padding Token Workaround
- Heuristic:Danijar Dreamerv3 Adaptive Gradient Clipping
Environments
- Environment:Apache Airflow Database Backend Environment
- Environment:Openai Openai python Python 3 9 Plus
- Environment:Vespa engine Vespa FNET Transport Config
- Environment:ThreeSR Awesome Inference Time Scaling Semantic Scholar API Environment
- Environment:Spotify Luigi AWS S3 Storage
- Environment:Dotnet Machinelearning OneDal Acceleration
- Environment:Microsoft BIPIA DeepSpeed Finetuning Environment
- Environment:Lm sys FastChat SFT Training Environment
- Environment:Google deepmind Dm control EGL Headless Rendering
- Environment:Huggingface Datasets Image Dependencies