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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:Isaac sim IsaacGymEnvs Domain Randomization Training
- Workflow:Facebookresearch Habitat lab HITL Interactive Evaluation
- Workflow:AUTOMATIC1111 Stable diffusion webui LoRA network application
- Workflow:Vllm project Vllm Speculative Decoding
- Workflow:Scikit learn contrib Imbalanced learn Ensemble Imbalanced Classification
- Workflow:Apache Kafka Topic Management
- Workflow:LMCache LMCache CacheBlend KV Reuse
- Workflow:Confident ai Deepeval Component Level LLM Evaluation
- Workflow:LMCache LMCache Disaggregated Prefill
- Workflow:Deepset ai Haystack Document Indexing Pipeline
Principles
- Principle:DistrictDataLabs Yellowbrick Error Handling
- Principle:Ggml org Llama cpp ModelLoading
- Principle:NVIDIA DALI Image Resize
- Principle:PacktPublishing LLM Engineers Handbook Query Expansion
- Principle:Apache Airflow Post Release Activities
- Principle:MaterializeInc Materialize Docker Image Building
- Principle:Neuml Txtai Content Conversion
- Principle:Neuml Txtai Distributed Search
- Principle:FMInference FlexLLMGen HuggingFace DeepSpeed Baseline Inference
- Principle:Eric mitchell Direct preference optimization Dropout Disabling
Implementations
- Implementation:Mlc ai Mlc llm MoE Misc
- Implementation:Facebookresearch Habitat lab Dataset
- Implementation:CARLA simulator Carla SensorData Base
- Implementation:Shiyu coder Kronos Kronos From Pretrained
- Implementation:Lance format Lance Dataset Add Columns For Vectors
- Implementation:Infiniflow Ragflow PackageLock Dependencies
- Implementation:Openai Openai python Realtime Conversation Item Create
- Implementation:Puppeteer Puppeteer Decorators
- Implementation:NVIDIA NeMo Aligner PickScore Dataset
- Implementation:Recommenders team Recommenders SLI REC Model
Heuristics
- Heuristic:Mbzuai oryx Awesome LLM Post training Paper Deduplication Via Dict
- Heuristic:Huggingface Diffusers VAE Scaling Factors
- Heuristic:Haosulab ManiSkill Initial Pose Performance
- Heuristic:HKUDS AI Trader Sortino Ratio Capping
- Heuristic:Huggingface Trl Gradient Checkpointing Use Reentrant
- Heuristic:SeldonIO Seldon core Autoscaling Dual Config Tip
- Heuristic:Huggingface Datatrove VLLM Startup Optimization
- Heuristic:Marker Inc Korea AutoRAG Hybrid Retrieval Score Normalization
- Heuristic:LLMBook zh LLMBook zh github io BF16 Mixed Precision Default
- Heuristic:Pytorch Serve CPU Performance Tuning
Environments
- Environment:Risingwavelabs Risingwave Rust Build Environment
- Environment:InternLM Lmdeploy Build From Source
- Environment:Mistralai Client python Realtime Transcription Environment
- Environment:DevExpress Testcafe Firefox Marionette
- Environment:Neuml Txtai GPU Accelerator Detection
- Environment:Microsoft Semantic kernel ONNX CUDA Environment
- Environment:Openai CLIP Python Dependencies
- Environment:Intel Ipex llm Build Environment
- Environment:Helicone Helicone Node 20 TypeScript Runtime
- Environment:Apache Paimon Python Core Runtime