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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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Browse by Category
| 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:Neuml Txtai Pipeline Workflow Chaining
- Workflow:Dagster io Dagster RAG Pipeline
- Workflow:Trailofbits Fickling PyTorch Payload Injection
- Workflow:Openclaw Openclaw Gateway Operations And Diagnostics
- Workflow:Langchain ai Langgraph Human in the Loop Agent
- Workflow:Webdriverio Webdriverio Custom Plugin Development
- Workflow:OWASP Www project top 10 for large language model applications LLM Vulnerability Assessment
- Workflow:Huggingface Transformers Model Benchmarking
- Workflow:Ucbepic Docetl Playground Interactive Development
- Workflow:Tencent Ncnn Vulkan GPU Accelerated Inference
Principles
- Principle:OpenBMB UltraFeedback Principle Sampling
- Principle:Huggingface Datasets Row Count Inspection
- Principle:Avhz RustQuant Instrument Abstraction
- Principle:Kubeflow Pipelines Pipeline Submission
- Principle:Mlc ai Web llm Tool Execution Loop
- Principle:Google deepmind Dm control Domain Randomization
- Principle:Intel Ipex llm RAG Chain Assembly
- Principle:Alibaba ROLL Rollout Scheduling
- Principle:Kubeflow Kubeflow Train Model
- Principle:Hiyouga LLaMA Factory Model Quantization
Implementations
- Implementation:Datajuicer Data juicer DWposeDetector
- Implementation:Zai org CogVideo I2V Pipeline Configuration
- Implementation:Microsoft Autogen Swarm Run Stream
- Implementation:Datajuicer Data juicer VideoRemoveWatermarkMapper
- Implementation:Apache Paimon ReadBuilder Scan
- Implementation:Lm sys FastChat Make Delta Weights
- Implementation:Google deepmind Mujoco MjModel Header
- Implementation:Pytorch Serve Llama2 Generate
- Implementation:Onnx Onnx Model Hub
- Implementation:Nautechsystems Nautilus trader ImportableStrategyConfig Init
Heuristics
- Heuristic:Pyro ppl Pyro Guide Initialization Strategy
- Heuristic:BerriAI Litellm Cooldown Threshold Tuning
- Heuristic:Hiyouga LLaMA Factory CUDA Memory Optimization
- Heuristic:Lm sys FastChat Tokenizer Offset Correction
- Heuristic:DistrictDataLabs Yellowbrick NaN Data Handling
- Heuristic:Openai Openai node Retry Backoff Configuration
- Heuristic:Tensorflow Tfjs GPU Pipeline Data Residency
- Heuristic:Neuml Txtai Thread Safety Constraints
- Heuristic:CrewAIInc CrewAI Rate Limiting Strategy
- Heuristic:OpenGVLab InternVL Dynamic Resolution Tiling
Environments
- Environment:VainF Torch Pruning CUDA GPU Benchmarking
- Environment:Deepset ai Haystack GPU Device Environment
- Environment:Microsoft Onnxruntime CPU Training Environment
- Environment:Sgl project Sglang CUDA SM100
- Environment:Promptfoo Promptfoo SQLite Database
- Environment:Ggml org Llama cpp Metal GPU Environment
- Environment:Lance format Lance Rust Toolchain
- Environment:Mlc ai Mlc llm Metal macOS iOS Environment
- Environment:Nightwatchjs Nightwatch Node 18 Runtime
- Environment:Hpcaitech ColossalAI GRPO Distributed Environment