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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 |
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Workflows
- Workflow:Openai Openai python Realtime Conversation
- Workflow:Treeverse LakeFS S3 Gateway Integration
- Workflow:Sgl project Sglang Structured Output Generation
- Workflow:Tensorflow Tfjs Transfer Learning
- Workflow:LLMBook zh LLMBook zh github io LoRA Finetuning
- Workflow:Infiniflow Ragflow Docker Deployment
- Workflow:Pola rs Polars Data IO and Format Conversion
- Workflow:PrefectHQ Prefect Asset Based Data Pipeline
- Workflow:Ollama Ollama Model Registry Operations
- Workflow:Kornia Kornia Differentiable Image Augmentation
Principles
- Principle:Lance format Lance Compaction Commit
- Principle:Marker Inc Korea AutoRAG Strategy Selection
- Principle:Snorkel team Snorkel Spark Mapper Adaptation
- Principle:Huggingface Diffusers Dual LoRA Configuration
- Principle:Dagster io Dagster ML Model Lifecycle
- Principle:Apache Paimon Catalog Object Model
- Principle:SeldonIO Seldon core Model Explainability Integration
- Principle:ContextualAI HALOs Reward Model Configuration
- Principle:EvolvingLMMs Lab Lmms eval SGLang Acceleration
- Principle:AUTOMATIC1111 Stable diffusion webui Progress Reporting
Implementations
- Implementation:LMCache LMCache CacheGen Decoder
- Implementation:Langgenius Dify UseQueryParams
- Implementation:CARLA simulator Carla ColorConverter
- Implementation:Microsoft Playwright AndroidDispatcher
- Implementation:Puppeteer Puppeteer Merge Changelogs
- Implementation:Helicone Helicone Unified Provider Registry
- Implementation:Hpcaitech ColossalAI GaoKaoBenchDataset
- Implementation:Iterative Dvc Repo Trie
- Implementation:Lm sys FastChat Train Yuan2
- Implementation:Pyro ppl Pyro BlockMessenger
Heuristics
- Heuristic:Snorkel team Snorkel Minimum Three LFs
- Heuristic:Eric mitchell Direct preference optimization FSDP Batch Size Per GPU
- Heuristic:LaurentMazare Tch rs Device Fallback Pattern
- Heuristic:Helicone Helicone Cost Precision Multiplier
- Heuristic:Unslothai Unsloth GGUF Quantization Selection
- Heuristic:Tensorflow Serving Resource Estimation Rules
- Heuristic:Interpretml Interpret Categorical Float Conversion Gotcha
- Heuristic:Hiyouga LLaMA Factory Gradient Checkpointing Memory Optimization
- Heuristic:Iamhankai Forest of Thought Early Stop Majority Vote
- Heuristic:Bigscience workshop Petals Randomized Rebalancing Intervals
Environments
- Environment:Predibase Lorax CUDA GPU Runtime
- Environment:Speechbrain Speechbrain Speech Enhancement Dependencies
- Environment:NVIDIA NeMo Curator RAPIDS GPU Stack
- Environment:Rapidsai Cuml Python RAPIDS Stack
- Environment:Microsoft Agent framework API Credentials
- Environment:Eventual Inc Daft Ray Distributed Runner
- Environment:Pyro ppl Pyro Python PyTorch Core
- Environment:NVIDIA TransformerEngine GPU Compute Capability
- Environment:Getgauge Taiko Docker Container
- Environment:CARLA simulator Carla Simulation Runtime