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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:FlagOpen FlagEmbedding Embedder Finetuning
- Workflow:Zai org CogVideo Video Captioning
- Workflow:Sail sg LongSpec Speculative Decoding Inference
- Workflow:Microsoft Agent framework Multi Agent Concurrent Orchestration
- Workflow:Isaac sim IsaacGymEnvs Domain Randomization Training
- Workflow:Risingwavelabs Risingwave Streaming ETL Pipeline
- Workflow:Vibrantlabsai Ragas Custom Metric Creation
- Workflow:Promptfoo Promptfoo CI CD Integration
- Workflow:Microsoft Onnxruntime Train Convert Predict
- Workflow:Kubeflow Kubeflow Contributing To Kubeflow
Principles
- Principle:Dotnet Machinelearning Hardware Accelerated Training
- Principle:Unstructured IO Unstructured Section Aware Chunking
- Principle:Heibaiying BigData Notes Spark Data Writing
- Principle:Datajuicer Data juicer LLM Backend Configuration
- Principle:FlagOpen FlagEmbedding RetroMAE Pretraining
- Principle:Openai Openai agents python Usage Tracking
- Principle:Microsoft LoRA BPE Text Decoding
- Principle:Allenai Open instruct DPO Experiment Configuration
- Principle:Openai Openai python Fine Tuning Job Monitoring
- Principle:Getgauge Taiko Page Navigation
Implementations
- Implementation:Mlc ai Mlc llm Router Init
- Implementation:Langgenius Dify Service Use Common
- Implementation:SeldonIO Seldon core Seldon Model Infer Explainer
- Implementation:Pytorch Serve Transformers Model Dowloader
- Implementation:AUTOMATIC1111 Stable diffusion webui Hypertile Script
- Implementation:Arize ai Phoenix Legacy BedrockModel
- Implementation:Zai org CogVideo DDIM Export Latents To Video
- Implementation:Iterative Dvc Repo Install
- Implementation:Online ml River Metrics Recall
- Implementation:Ray project Ray ParallelActorCallGenerator
Heuristics
- Heuristic:Getgauge Taiko Implicit Wait Tuning
- Heuristic:Snorkel team Snorkel DataParallel Default Behavior
- Heuristic:Google deepmind Dm control Rendering Backend Selection Tips
- Heuristic:Treeverse LakeFS Action Cache Wait Tip
- Heuristic:Lance format Lance Encoding Compression Thresholds
- Heuristic:Mit han lab Llm awq AWQ Grid Search Tuning
- Heuristic:LMCache LMCache CacheGen Quantization Strategy
- Heuristic:Speechbrain Speechbrain Data Augmentation Defaults
- Heuristic:Cohere ai Cohere python Pydantic V1 V2 Compatibility
- Heuristic:Microsoft Agent framework PowerFx Python Version Limit
Environments
- Environment:Vllm project Vllm CUDA GPU Runtime
- Environment:MaterializeInc Materialize Python CI Builder Runtime
- Environment:CrewAIInc CrewAI LLM Provider Credentials
- Environment:Explodinggradients Ragas Google Drive Backend Environment
- Environment:TobikoData Sqlmesh BigQuery Connection
- Environment:ChenghaoMou Text dedup Suffix Array External Tools
- Environment:Intel Ipex llm Windows Environment
- Environment:Bigscience workshop Petals Python Hivemind
- Environment:Apache Shardingsphere Java Runtime Environment
- Environment:Alibaba MNN GPU CUDA Environment