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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:VainF Torch Pruning Sparse Training Pruning
- Workflow:OpenRLHF OpenRLHF Reward Model Training
- Workflow:Unslothai Unsloth QLoRA SFT Finetuning
- Workflow:Heibaiying BigData Notes Hadoop MapReduce Word Count
- Workflow:Groq Groq python Audio Transcription
- Workflow:Zai org CogVideo SAT Finetuning
- Workflow:Apache Paimon Data Ingestion With Ray Sink
- Workflow:Volcengine Verl Vision Language Model RL Training
- Workflow:Openclaw Openclaw Initial Setup And Onboarding
- Workflow:EvolvingLMMs Lab Lmms eval Server Mode Evaluation
Principles
- Principle:Isaac sim IsaacGymEnvs Randomization Parameter Definition
- Principle:Deepset ai Haystack Metadata Based Routing
- Principle:CARLA simulator Carla Sensor Data Streaming
- Principle:Isaac sim IsaacGymEnvs Runtime Randomization
- Principle:Huggingface Open r1 Difficulty Based Data Filtering
- Principle:EvolvingLMMs Lab Lmms eval Results Retrieval
- Principle:Puppeteer Puppeteer Dynamic Content Waiting
- Principle:NVIDIA TransformerEngine FP8 Delayed Scaling
- Principle:Zai org CogVideo Vector Quantization
- Principle:Alibaba MNN Model Format Conversion
Implementations
- Implementation:Microsoft Agent framework Custom Aggregator Callback
- Implementation:Alibaba ROLL McaModelConfig
- Implementation:OpenRLHF OpenRLHF DeepspeedStrategy save model
- Implementation:Scikit learn Scikit learn DictVectorizer
- Implementation:Open compass VLMEvalKit Phi3Vision
- Implementation:LMCache LMCache API Registry
- Implementation:OpenGVLab InternVL LazySupervisedDataset
- Implementation:Microsoft LoRA DART Dev Dataset
- Implementation:Langchain ai Langgraph AgentState Schema
- Implementation:Hpcaitech ColossalAI Math Competition Reward
Heuristics
- Heuristic:Princeton nlp SimPO Left Truncation Strategy
- Heuristic:Microsoft BIPIA BF16 Compute Capability Check
- Heuristic:Shiyu coder Kronos Sampling Temperature Tuning
- Heuristic:Apache Airflow DAG Complexity Reduction
- Heuristic:ChenghaoMou Text dedup Mersenne Prime Backward Compatibility
- Heuristic:Astronomer Astronomer cosmos Static Parser Hang Workaround
- Heuristic:Marker Inc Korea AutoRAG Empty Result Fallback
- Heuristic:Ray project Ray Graceful Shutdown Timing
- Heuristic:Astronomer Astronomer cosmos Memory Optimised Imports
- Heuristic:Ggml org Ggml Sampling Parameter Defaults
Environments
- Environment:Allenai Open instruct CUDA GPU Training
- Environment:BerriAI Litellm Redis Cache Backend
- Environment:ClickHouse ClickHouse Systemd Runtime
- Environment:Langgenius Dify Docker Compose Environment
- Environment:ThreeSR Awesome Inference Time Scaling Semantic Scholar API Environment
- Environment:Bentoml BentoML BentoCloud Credentials
- Environment:Apache Flink Hadoop Compatibility Environment
- Environment:Apache Paimon Python Core Runtime
- Environment:Mistralai Client python GCP Deployment Environment
- Environment:Vllm project Vllm CUDA GPU Runtime