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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:PrefectHQ Prefect Dbt Model Orchestration
- Workflow:Sgl project Sglang ModelOpt Quantization And Export
- Workflow:Apache Flink File Sink Pipeline
- Workflow:OpenRLHF OpenRLHF DPO Training
- Workflow:ArroyoSystems Arroyo Checkpoint Recovery
- Workflow:Microsoft BIPIA White Box Defense Finetuning
- Workflow:Tensorflow Tfjs GPT2 Text Generation
- Workflow:Microsoft Onnxruntime Distributed Model Training
- Workflow:Haosulab ManiSkill Motion Planning Demo Generation
- Workflow:Ucbepic Docetl Python API Pipeline
Principles
- Principle:OpenHands OpenHands Progress Notification
- Principle:Predibase Lorax Continuous Batching Inference
- Principle:DataExpert io Data engineer handbook Event Tracking
- Principle:Confident ai Deepeval Component Instrumentation
- Principle:Scikit learn contrib Imbalanced learn Combined Over Under Sampling Tomek
- Principle:Google deepmind Mujoco Rendering Resource Cleanup
- Principle:Promptfoo Promptfoo CLI Utilities
- Principle:Neuml Txtai Late Interaction Retrieval
- Principle:Sktime Pytorch forecasting Baseline Forecasting
- Principle:Run llama Llama index Finetuned Model Retrieval
Implementations
- Implementation:Openai Openai node Ecosystem CLI
- Implementation:FlagOpen FlagEmbedding Training Data JSONL Format
- Implementation:Isaac sim IsaacGymEnvs Launch Rlg Hydra Inference
- Implementation:Apache Druid CellFilterMenu
- Implementation:Hiyouga LLaMA Factory Alpaca Zh Demo Data
- Implementation:Hpcaitech ColossalAI Train ORPO Script
- Implementation:Deepspeedai DeepSpeed InferenceEngine Forward
- Implementation:BerriAI Litellm Responses API
- Implementation:Apache Paimon FormatAvroReader
- Implementation:Deepset ai Haystack SentenceTransformersTextEmbedder
Heuristics
- Heuristic:ChenghaoMou Text dedup Fingerprint Batch Size One
- Heuristic:Google deepmind Mujoco MJX Feature Compatibility
- Heuristic:Lm sys FastChat Flash Attention GPU Requirements
- Heuristic:Microsoft BIPIA LLAMA Pad Token Workaround
- Heuristic:Spotify Luigi Batch Parameter Aggregation
- Heuristic:Explodinggradients Ragas LLM Temperature Defaults
- Heuristic:Gretelai Gretel synthetics Memory Chunking For Normalization
- Heuristic:Langchain ai Langgraph Checkpointer Selection Guide
- Heuristic:Huggingface Datatrove VLLM Startup Optimization
- Heuristic:Rapidsai Cuml Quantile Split Differences
Environments
- Environment:Unslothai Unsloth Python Transformers
- Environment:Huggingface Alignment handbook Python TRL
- Environment:Facebookresearch Habitat lab CUDA GPU Training Environment
- Environment:Fede1024 Rust rdkafka Kafka Broker Runtime
- Environment:Getgauge Taiko Linux System Libraries
- Environment:Kserve Kserve Leader Worker Set
- Environment:Promptfoo Promptfoo Python Runtime
- Environment:Ggml org Ggml CUDA GPU Environment
- Environment:Online ml River Build Toolchain
- Environment:Huggingface Transformers Flash Attention 2 Env