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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:Openclaw Openclaw Plugin And Skill Extension
- Workflow:SeleniumHQ Selenium Page Object Pattern Testing
- Workflow:Infiniflow Ragflow Document Processing Pipeline
- Workflow:Microsoft Agent framework Declarative Agent Definition
- Workflow:Apache Kafka Coordinator Runtime Lifecycle
- Workflow:Alibaba ROLL Agentic RL Training Pipeline
- Workflow:LMCache LMCache KV Cache Offloading
- Workflow:Google deepmind Dm control Composer Environment Building
- Workflow:Pytorch Serve Model Deployment
- Workflow:Scikit learn Scikit learn Hyperparameter Tuning
Principles
- Principle:Allenai Open instruct Human Evaluation
- Principle:Vespa engine Vespa Indexing Error Handling
- Principle:Axolotl ai cloud Axolotl FSDP Weight Consolidation
- Principle:Google deepmind Mujoco Object Name Lookup
- Principle:Langgenius Dify Theming
- Principle:Huggingface Diffusers Latent Decoding
- Principle:Ggml org Llama cpp Structured Output
- Principle:Axolotl ai cloud Axolotl Preference Dataset Preparation
- Principle:PacktPublishing LLM Engineers Handbook Data Warehouse Query
- Principle:NVIDIA NeMo Curator Video Frame Extraction
Implementations
- Implementation:Deepspeedai DeepSpeed Abstract Accelerator
- Implementation:Sdv dev SDV PARSynthesizer Fit
- Implementation:NVIDIA TransformerEngine TELlamaDecoderLayer
- Implementation:Open compass VLMEvalKit MMIF Function And Compare
- Implementation:Huggingface Diffusers Quantized Pipeline Call
- Implementation:Langchain ai Langgraph BaseChannel
- Implementation:Mlc ai Web llm Tool Execution Pattern
- Implementation:Lm sys FastChat Train Yuan2
- Implementation:OpenHands OpenHands Select
- Implementation:Webdriverio Webdriverio BrowserStack Launcher Tunnel
Heuristics
- Heuristic:Anthropics Anthropic sdk python Adaptive Thinking Over Enabled
- Heuristic:Apache Flink Hadoop Thread Safety Mutexes
- Heuristic:Ollama Ollama Quantization Layer Selection
- Heuristic:OpenRLHF OpenRLHF Gradient Checkpointing Memory Tip
- Heuristic:Hpcaitech ColossalAI Empty Cache Between Phases
- Heuristic:Spcl Graph of thoughts GoT Decompose Sort Merge Strategy
- Heuristic:BerriAI Litellm Connection Pooling Memory Management
- Heuristic:Norrrrrrr lyn WAInjectBench Union Ensemble Maximize Recall
- Heuristic:CarperAI Trlx Partial Layer Freezing
- Heuristic:Shiyu coder Kronos Sampling Temperature Tuning
Environments
- Environment:Unstructured IO Unstructured GitHub Actions
- Environment:ThreeSR Awesome Inference Time Scaling GitHub Account Environment
- Environment:Haifengl Smile Native BLAS LAPACK ARPACK
- Environment:Duckdb Duckdb Code Generation Tools
- Environment:Huggingface Optimum Accelerated Inference Environment
- Environment:Fede1024 Rust rdkafka Kafka Broker Runtime
- Environment:Apache Kafka Release Toolchain Environment
- Environment:Evidentlyai Evidently Node Frontend Environment
- Environment:Spotify Luigi Python Runtime
- Environment:Huggingface Trl DeepSpeed Environment