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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:Obss Sahi Sliced Inference Pipeline
- Workflow:ChenghaoMou Text dedup MinHash LSH Deduplication
- Workflow:Mage ai Mage ai Building a New Source Connector
- Workflow:Roboflow Rf detr Custom Dataset Finetuning
- Workflow:Scikit learn Scikit learn Ensemble Model Building
- Workflow:Dotnet Machinelearning ONNX Model Scoring
- Workflow:Ray project Ray Cross Language Invocation
- Workflow:Langgenius Dify Workflow Builder and Execution
- Workflow:Speechbrain Speechbrain Whisper ASR Finetuning
- Workflow:Kserve Kserve Canary Rollout Deployment
Principles
- Principle:Bigscience workshop Petals Server Configuration
- Principle:Infiniflow Ragflow Embedding Generation
- Principle:Cohere ai Cohere python Rerank Response Processing
- Principle:Lm sys FastChat Prompt Deduplication
- Principle:Kornia Kornia ONNX IO Mapping
- Principle:Axolotl ai cloud Axolotl FSDP Weight Consolidation
- Principle:Apache Spark Release Version Tagging
- Principle:Pytorch Serve Streaming Inference
- Principle:Tencent Ncnn Non Maximum Suppression
- Principle:Isaac sim IsaacGymEnvs Environment Creation
Implementations
- Implementation:Getgauge Taiko CheckBox Toggle
- Implementation:MaterializeInc Materialize Shlib Bash
- Implementation:Huggingface Datasets Split Dataset By Node
- Implementation:Hiyouga LLaMA Factory Hparams Parser
- Implementation:ARISE Initiative Robosuite ManipulatorModel
- Implementation:Protectai Modelscan Issues Group By Severity
- Implementation:Haosulab ManiSkill UnitreeH1WithHands
- Implementation:Apache Paimon SnapshotManager
- Implementation:Kornia Kornia Image Module
- Implementation:Recommenders team Recommenders TF Utils
Heuristics
- Heuristic:Lm sys FastChat Flash Attention GPU Requirements
- Heuristic:Fede1024 Rust rdkafka Sensitive Config Sanitization
- Heuristic:SeldonIO Seldon core Kafka Partition Throughput Tip
- Heuristic:OpenGVLab InternVL Pixel Shuffle Downsampling
- Heuristic:Intel Ipex llm QLoRA Training Hyperparameters
- Heuristic:BerriAI Litellm Cooldown Threshold Tuning
- Heuristic:Dagster io Dagster Record Over Dataclass
- Heuristic:Junyanz Pytorch CycleGAN and pix2pix Identity Loss Color Preservation
- Heuristic:ChenghaoMou Text dedup Suffix Array Merge Strategy
- Heuristic:Rapidsai Cuml CUDA Kernel Caching
Environments
- Environment:EvolvingLMMs Lab Lmms eval Python Runtime Environment
- Environment:BerriAI Litellm Python Runtime
- Environment:EvolvingLMMs Lab Lmms eval API Credentials Environment
- Environment:SeldonIO Seldon core GPU Inference Environment
- Environment:Princeton nlp SimPO VLLM Inference
- Environment:Risingwavelabs Risingwave Java Connector Environment
- Environment:Sgl project Sglang Grafana
- Environment:Langgenius Dify Node Frontend Environment
- Environment:Princeton nlp SimPO CUDA Training
- Environment:Wandb Weave LLM Integration Dependencies