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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:Bentoml BentoML Service Definition And Local Serving
- Workflow:Confident ai Deepeval Component Level LLM Evaluation
- Workflow:Microsoft LoRA LoRA Integration
- Workflow:Iamhankai Forest of Thought FoT Benchmark Evaluation
- Workflow:Sgl project Sglang ModelOpt Quantization And Export
- Workflow:Openclaw Openclaw Initial Setup And Onboarding
- Workflow:OpenGVLab InternVL Multi Stage Pretraining
- Workflow:Ollama Ollama Safetensors To GGUF Conversion
- Workflow:Lakeraai Pint benchmark Custom Dataset Benchmarking
- Workflow:Apache Beam Portable Pipeline Submission
Principles
- Principle:Confident ai Deepeval Function Tracing
- Principle:ARISE Initiative Robomimic Observation Visualization Debugging
- Principle:Anthropics Anthropic sdk python Authentication Configuration
- Principle:Arize ai Phoenix Annotation Analysis
- Principle:Google deepmind Mujoco Scene Update
- Principle:Puppeteer Puppeteer Target Management
- Principle:Kubeflow Pipelines Incremental Model Training
- Principle:Google deepmind Mujoco Restrict Optimization
- Principle:Kubeflow Pipelines KFP UI Access
- Principle:Google deepmind Mujoco MJX Physics Stepping
Implementations
- Implementation:Google deepmind Mujoco mj name2id
- Implementation:Open compass VLMEvalKit Register Model Config
- Implementation:Apache Druid Overlord Dynamic Config Completions
- Implementation:Hpcaitech ColossalAI SimpleProducer
- Implementation:Isaac sim IsaacGymEnvs VecTask Simulation Loop
- Implementation:AUTOMATIC1111 Stable diffusion webui Edit Attention
- Implementation:Facebookresearch Habitat lab BaseTrainer
- Implementation:NVIDIA NeMo Aligner MegatronSD DRaFTP Model
- Implementation:Pyro ppl Pyro NanMaskedDistributions
- Implementation:Lucidrains X transformers XValTransformerWrapper
Heuristics
- Heuristic:Tencent Ncnn Vulkan Pipeline Warmup
- Heuristic:ArroyoSystems Arroyo Async UDF Concurrency
- Heuristic:DataTalksClub Data engineering zoomcamp GCS Upload Timeout Workaround
- Heuristic:Rapidsai Cuml Float64 Kernel Stability
- Heuristic:Google research Deduplicate text datasets Variable Width Pointer Optimization
- Heuristic:Apache Flink Hadoop Thread Safety Mutexes
- Heuristic:Facebookresearch Audiocraft Chroma Conditioning Cache Requirement
- Heuristic:Arize ai Phoenix Notebook Event Loop Patching
- Heuristic:Openai Whisper No Speech Detection
- Heuristic:Run llama Llama index Embedding Batch Size Tuning
Environments
- Environment:Alibaba ROLL Diffusion Video Environment
- Environment:Apache Flink Python PyFlink Environment
- Environment:Ggml org Ggml Metal GPU Environment
- Environment:Huggingface Alignment handbook Python Datasets
- Environment:ThreeSR Awesome Inference Time Scaling Python Runtime Environment
- Environment:Mlc ai Mlc llm TVM Runtime Environment
- Environment:Nightwatchjs Nightwatch Android Mobile Testing
- Environment:Vespa engine Vespa FNET Transport Config
- Environment:Lm sys FastChat API Keys And Credentials
- Environment:Open compass VLMEvalKit Python Runtime Environment