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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 |
Explore Pages
Workflows
- Workflow:Sail sg LongSpec Long Context Evaluation
- Workflow:Volcengine Verl Multi Turn Tool Use Training
- Workflow:Huggingface Transformers 3D Parallel Distributed Training
- Workflow:Huggingface Diffusers ControlNet Guided Generation
- Workflow:Microsoft Semantic kernel Process Orchestration
- Workflow:Allenai Open instruct Tulu3 Full Post Training
- Workflow:Microsoft Playwright Network mocking and interception
- Workflow:Predibase Lorax Multi Adapter Merging
- Workflow:Lm sys FastChat Distributed Model Serving
- Workflow:Risingwavelabs Risingwave CDC Data Replication
Principles
- Principle:Pyro ppl Pyro Directional Statistics
- Principle:Microsoft LoRA LoRA Training Loop
- Principle:Marker Inc Korea AutoRAG Test Dataset Evaluation
- Principle:Triton inference server Server Model Repository Layout
- Principle:Helicone Helicone Backend Log Processing
- Principle:Webdriverio Webdriverio TestFrameworkIntegration
- Principle:Apache Beam Job Service Connection
- Principle:LaurentMazare Tch rs Error Handling
- Principle:Ollama Ollama CLIDisplay
- Principle:Apache Dolphinscheduler RPC Server Handler
Implementations
- Implementation:Scikit learn Scikit learn CalibratedClassifierCV
- Implementation:Ray project Ray RuntimeEnv
- Implementation:Apache Dolphinscheduler RpcService Annotation
- Implementation:Microsoft Playwright StringUtils
- Implementation:BerriAI Litellm Lazy Imports
- Implementation:CARLA simulator Carla ALSM
- Implementation:Mit han lab Llm awq LlavaConfig
- Implementation:Langgenius Dify Annotation Service
- Implementation:Togethercomputer Together python Images Generate
- Implementation:Helicone Helicone Filter Helpers
Heuristics
- Heuristic:Tensorflow Serving Servable Handle Lifetime
- Heuristic:Deepset ai Haystack Pipeline Max Runs Safety Limit
- Heuristic:Zai org CogVideo Data Preparation Best Practices
- Heuristic:NVIDIA DALI Batch Size Tuning
- Heuristic:Ucbepic Docetl Reduce Parallel Fold Tuning
- Heuristic:CARLA simulator Carla Sensor Queue Synchronization Pattern
- Heuristic:Langchain ai Langchain Deprecation Version Tracking
- Heuristic:OpenRLHF OpenRLHF Value Head ZeRO3 Init Tip
- Heuristic:Bigscience workshop Petals Short Inference Pool Merging
- Heuristic:PacktPublishing LLM Engineers Handbook Temperature Selection By Task
Environments
- Environment:Intel Ipex llm RAG LlamaIndex Environment
- Environment:MarketSquare Robotframework browser Node Runtime
- Environment:Treeverse LakeFS Web UI Environment
- Environment:Pytorch Serve Python PyTorch Runtime
- Environment:Tensorflow Tfjs Browser Runtime
- Environment:OpenRLHF OpenRLHF CUDA GPU Environment
- Environment:Apache Flink Java Build Environment
- Environment:Getgauge Taiko Chromium Browser
- Environment:Wandb Weave Trace Server Infrastructure
- Environment:Datajuicer Data juicer LLM API Credentials Environment