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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:ARISE Initiative Robosuite Domain Randomization Training
- Workflow:FlagOpen FlagEmbedding Benchmark Evaluation
- Workflow:Mage ai Mage ai Building a New Source Connector
- Workflow:Unslothai Unsloth GRPO Reinforcement Learning
- Workflow:SeleniumHQ Selenium Page Object Pattern Testing
- Workflow:CarperAI Trlx ILQL Offline Training
- Workflow:Datahub project Datahub Python Metadata Emission
- Workflow:Volcengine Verl GRPO Training Pipeline
- Workflow:Fede1024 Rust rdkafka Transactional Produce Consume
- Workflow:TA Lib Ta lib python Installation And Setup
Principles
- Principle:Ggml org Ggml Model Training
- Principle:Spcl Graph of thoughts LLM Response Parsing
- Principle:Huggingface Diffusers LoRA Export
- Principle:Tensorflow Serving Performance Monitoring
- Principle:MaterializeInc Materialize Image Dependency Resolution
- Principle:Huggingface Optimum Backend Availability Detection
- Principle:ClickHouse ClickHouse ELF Program Header Caching
- Principle:Mistralai Client python Message Construction
- Principle:Fastai Fastbook Tokenization
- Principle:Datahub project Datahub MCP Construction
Implementations
- Implementation:BerriAI Litellm Callback Configs
- Implementation:Facebookresearch Habitat lab PPOTrainer train
- Implementation:Ggml org Llama cpp Json Partial
- Implementation:Helicone Helicone Terms Page
- Implementation:Tensorflow Serving Gzip Zlib
- Implementation:Speechbrain Speechbrain DNS Noisy Speech Synthesizer
- Implementation:NVIDIA DALI Docker Build
- Implementation:Alibaba ROLL Adapter Utils
- Implementation:Isaac sim IsaacGymEnvs DR Utils Random Samples
- Implementation:InternLM Lmdeploy StopCriteriaKernels
Heuristics
- Heuristic:Vllm project Vllm KV Cache Block Size Selection
- Heuristic:Dagster io Dagster Record Over Dataclass
- Heuristic:Datahub project Datahub Spark Databricks Coalescing
- Heuristic:Nautechsystems Nautilus trader Strategy On Start Initialization
- Heuristic:Huggingface Open r1 Distributed Training Configuration
- Heuristic:Google deepmind Dm control Warning Deprecated Legacy Base Walker
- Heuristic:ClickHouse ClickHouse Debug Build Tips
- Heuristic:DataExpert io Data engineer handbook SparkSession Singleton Pattern
- Heuristic:Run llama Llama index Finetuning Warmup Steps
- Heuristic:Evidentlyai Evidently Statistical Test Auto Selection
Environments
- Environment:VainF Torch Pruning PyTorch Python Core
- Environment:Marker Inc Korea AutoRAG Japanese NLP Dependencies
- Environment:Hpcaitech ColossalAI CUDA GPU Environment
- Environment:OpenBMB UltraFeedback Python GPU Environment
- Environment:Speechbrain Speechbrain PyTorch CUDA Runtime
- Environment:Heibaiying BigData Notes Kafka 2 2 Environment
- Environment:Tensorflow Serving Kubernetes Deployment Environment
- Environment:Puppeteer Puppeteer Configuration Environment Variables
- Environment:Mistralai Client python Azure Deployment Environment
- Environment:Datajuicer Data juicer GPU CUDA Environment