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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:Iterative Dvc Data Tracking
- Workflow:Fastai Fastbook NLP Text Classification
- Workflow:BerriAI Litellm Proxy Server Deployment
- Workflow:Huggingface Peft Seq2Seq AdaLoRA Finetuning
- Workflow:Intel Ipex llm RAG With LangChain
- Workflow:Gretelai Gretel synthetics ACTGAN Tabular Synthesis
- Workflow:Cohere ai Cohere python AWS Bedrock Deployment
- Workflow:Openclaw Openclaw Gateway Operations And Diagnostics
- Workflow:Langchain ai Langchain Streaming Responses
- Workflow:Huggingface Datasets Dataset Streaming
Principles
- Principle:Deepspeedai DeepSpeed Op Builder System
- Principle:TA Lib Ta lib python Streaming Indicator Computation
- Principle:DataExpert io Data engineer handbook Event Tracking
- Principle:Vllm project Vllm Server Metrics Monitoring
- Principle:Google research Deduplicate text datasets Cross Dataset Duplicate Detection
- Principle:Openai CLIP Image Feature Encoding
- Principle:Lm sys FastChat Seq2Seq SFT Training
- Principle:Openai Openai python Chat Response Processing
- Principle:Online ml River Estimator Base Architecture
- Principle:Astronomer Astronomer cosmos Operator Arguments Configuration
Implementations
- Implementation:Huggingface Diffusers DreamBooth Args
- Implementation:Webdriverio Webdriverio Appium Types
- Implementation:Scikit learn Scikit learn Perceptron
- Implementation:Evidentlyai Evidently Legacy Data Quality Preset
- Implementation:Langfuse Langfuse DatasetRunItemUpsertQueue
- Implementation:FlowiseAI Flowise DashboardMenu
- Implementation:EvolvingLMMs Lab Lmms eval OVOBench Utils
- Implementation:Openai Openai python Shared Response Format JSON Schema
- Implementation:Open compass VLMEvalKit LENS Utils
- Implementation:NVIDIA TransformerEngine Prepare TE Modules For FSDP
Heuristics
- Heuristic:Hpcaitech ColossalAI CUDA Device Max Connections Tip
- Heuristic:Mlflow Mlflow Model Signature Inference Tips
- Heuristic:Microsoft Agent framework Declaration Only Tools Pattern
- Heuristic:Fastai Fastbook Discriminative Learning Rates
- Heuristic:Explodinggradients Ragas Failed Metrics Return NaN
- Heuristic:Isaac sim IsaacGymEnvs Determinism Performance Tradeoff
- Heuristic:Mbzuai oryx Awesome LLM Post training Paper Deduplication Via Dict
- Heuristic:Datajuicer Data juicer Checkpoint Resumption Strategy
- Heuristic:Ggml org Ggml Memory Allocation Strategy
- Heuristic:Isaac sim IsaacGymEnvs DR Setup Only Flag
Environments
- Environment:Huggingface Trl Quantization Environment
- Environment:Axolotl ai cloud Axolotl Python Runtime
- Environment:Roboflow Rf detr Python GPU Environment
- Environment:Kubeflow Kubeflow Kubectl Kustomize CLI Environment
- Environment:Spotify Luigi Tornado Web Server
- Environment:Testtimescaling Testtimescaling github io GitHub Actions Runner
- Environment:Mit han lab Llm awq VILA Multimodal Environment
- Environment:Apache Kafka JVM Runtime Environment
- Environment:Huggingface Datatrove S3 Storage Environment
- Environment:FMInference FlexLLMGen CUDA GPU