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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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|---|---|---|
| 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:Allenai Open instruct DPO Preference Tuning
- Workflow:NVIDIA NeMo Aligner Reward Model Training
- Workflow:Unstructured IO Unstructured Document Partitioning
- Workflow:Huggingface Alignment handbook Multi Stage Post Training
- Workflow:Dotnet Machinelearning Binary Classification Pipeline
- Workflow:LLMBook zh LLMBook zh github io LoRA Finetuning
- Workflow:OWASP Www project top 10 for large language model applications Vulnerability Entry Development
- Workflow:Intel Ipex llm QLoRA Finetuning
- Workflow:Datajuicer Data juicer Custom Operator Development
- Workflow:Hpcaitech ColossalAI DPO Alignment
Principles
- Principle:OpenGVLab InternVL Batch VQA Inference
- Principle:Allenai Open instruct Tokenizer Configuration
- Principle:Datajuicer Data juicer Data Grouping
- Principle:Huggingface Optimum Model Symbolic Tracing
- Principle:Apache Kafka Connect Standalone Invocation
- Principle:Axolotl ai cloud Axolotl Package Build Configuration
- Principle:Datahub project Datahub Deployment Verification
- Principle:Cohere ai Cohere python Semantic Reranking
- Principle:Googleapis Python genai Live Music Generation
- Principle:Vllm project Vllm Constrained Generation
Implementations
- Implementation:Deepspeedai DeepSpeed CPU Adam Impl
- Implementation:Datajuicer Data juicer VideoMotionScoreFilter
- Implementation:Huggingface Optimum ReversibleTransformation Reverse
- Implementation:Facebookresearch Audiocraft Audiocraft Installation
- Implementation:Langchain ai Langchain AnthropicLLM
- Implementation:Speechbrain Speechbrain Hparams Switchboard Transformer
- Implementation:Haosulab ManiSkill PickClutterYCB
- Implementation:Duckdb Duckdb Mbedtls PK
- Implementation:Arize ai Phoenix Legacy OpenAIModel
- Implementation:Openclaw Openclaw RunCli
Heuristics
- Heuristic:Snorkel team Snorkel NLP Preprocessor Memoization
- Heuristic:Truera Trulens Temperature Zero For Deterministic Scoring
- Heuristic:Neuml Txtai Batch Size And Sorting Tip
- Heuristic:Scikit learn Scikit learn Random State Management
- Heuristic:Sdv dev SDV Sampling Retry Tuning
- Heuristic:CrewAIInc CrewAI Rate Limiting Strategy
- Heuristic:HKUDS AI Trader Linear Retry Backoff
- Heuristic:Eventual Inc Daft Delta Lake S3 Locking
- Heuristic:Groq Groq python Retry Backoff Strategy
- Heuristic:Trailofbits Fickling Allowlist Maintenance
Environments
- Environment:Apache Spark Python Environment
- Environment:Hiyouga LLaMA Factory Optional Inference Backends
- Environment:PacktPublishing LLM Engineers Handbook Docker MongoDB Qdrant Infrastructure
- Environment:Infiniflow Ragflow Docker Infrastructure
- Environment:Risingwavelabs Risingwave Dashboard Node Environment
- Environment:Apache Shardingsphere Calcite Federation Engine
- Environment:HKUDS AI Trader API Credentials
- Environment:Langfuse Langfuse ClickHouse Analytics
- Environment:Gretelai Gretel synthetics Python Base Environment
- Environment:Vllm project Vllm CUDA Hopper