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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:Ggml org Ggml Model Conversion And Quantization
- Workflow:Allenai Open instruct DPO Preference Tuning
- Workflow:Ray project Ray Remote Task Execution
- Workflow:Langchain ai Langchain Chat Model Invocation
- Workflow:CARLA simulator Carla Simulation Recording and Replay
- Workflow:Huggingface Diffusers Model Quantization
- Workflow:Romsto Speculative Decoding Interactive CLI Comparison
- Workflow:Deepseek ai Janus Rectified Flow Image Generation
- Workflow:OpenBMB UltraFeedback Dataset Construction
- Workflow:Datajuicer Data juicer Dataset Quality Analysis
Principles
- Principle:Confident ai Deepeval Faithfulness Evaluation
- Principle:Haosulab ManiSkill Trajectory Merging
- Principle:ContextualAI HALOs Data Preparation
- Principle:EvolvingLMMs Lab Lmms eval TUI Server Architecture
- Principle:Tensorflow Serving Type Safe Erasure
- Principle:Microsoft Playwright Validate API Responses
- Principle:NVIDIA DALI Pipeline Definition
- Principle:Nautechsystems Nautilus trader Data Event Handling
- Principle:Online ml River Adaptive Random Forest
- Principle:Pytorch Serve Server Lifecycle
Implementations
- Implementation:Huggingface Datasets Extension To Module
- Implementation:Ucbepic Docetl FastShouldOptimize
- Implementation:Explodinggradients Ragas LiteLLMStructuredLLM Class
- Implementation:Lance format Lance LegacyDecoder
- Implementation:OpenRLHF OpenRLHF Ckpt DS Zero to Universal
- Implementation:Run llama Llama index EvaluationResult Analysis
- Implementation:Junyanz Pytorch CycleGAN and pix2pix Download Dataset
- Implementation:Mage ai Mage ai Knowi Streams
- Implementation:Huggingface Transformers LoraConfig
- Implementation:Langfuse Langfuse OTel Traces Handler
Heuristics
- Heuristic:Sktime Pytorch forecasting Encoder Decoder Length Limits
- Heuristic:OpenHands OpenHands Clustered Race Condition Prevention
- Heuristic:Groq Groq python Timeout Configuration
- Heuristic:Microsoft Agent framework Typed Agent Options Pattern
- Heuristic:Dotnet Machinelearning Text File Sampling Strategy
- Heuristic:Facebookresearch Audiocraft FSDP Distributed Training Tips
- Heuristic:Snorkel team Snorkel DataParallel Default Behavior
- Heuristic:Triton inference server Server Concurrency Throughput Rule
- Heuristic:Apache Airflow Memory Management Tips
- Heuristic:Pola rs Polars GPU Aggregation Join Speedup
Environments
- Environment:Apache Beam Dataflow Streaming Runtime
- Environment:Intel Ipex llm RAG LlamaIndex Environment
- Environment:ARISE Initiative Robomimic HDF5 Data Dependencies
- Environment:Tensorflow Tfjs Node Native Runtime
- Environment:Huggingface Alignment handbook Python TRL
- Environment:SqueezeAILab ETS Multi GPU Sglang Runtime
- Environment:LMCache LMCache NIXL Transfer Library
- Environment:Diagram of thought Diagram of thought Graphviz
- Environment:Apache Spark Python Environment
- Environment:MaterializeInc Materialize Python CI Builder Runtime