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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:Dotnet Machinelearning GenAI Causal LM Inference
- Workflow:Lucidrains X transformers Encoder Decoder Sequence to Sequence
- Workflow:Tencent Ncnn Vulkan GPU Accelerated Inference
- Workflow:Facebookresearch Audiocraft MusicGen Text To Music Inference
- Workflow:Shiyu coder Kronos CSV Finetuning
- Workflow:Helicone Helicone LLM Response Normalization
- Workflow:Vllm project Vllm Offline Text Generation
- Workflow:Facebookresearch Audiocraft Model Export And Deployment
- Workflow:MarketSquare Robotframework browser Installation and Setup
- Workflow:Hiyouga LLaMA Factory PPO RLHF Training
Principles
- Principle:Huggingface Datatrove Core Data Structures
- Principle:LaurentMazare Tch rs Tensor Iteration
- Principle:Ggml org Llama cpp GGUFFormat
- Principle:Sdv dev SDV DayZ Multi Table Parameter Detection
- Principle:Apache Beam Job Execution
- Principle:Vespa engine Vespa Indexing Error Handling
- Principle:Microsoft Onnxruntime Input Data Preparation
- Principle:Neuml Txtai Custom Function Tools
- Principle:Deepset ai Haystack Cross Encoder Reranking
- Principle:Microsoft Autogen Graph Flow Configuration
Implementations
- Implementation:Nautechsystems Nautilus trader LiveExecutionEngine Init
- Implementation:BerriAI Litellm Prompt Caching Cache
- Implementation:Rapidsai Cuml Spectral Embedding
- Implementation:Langfuse Langfuse OtelIngestionQueueProcessor
- Implementation:Apache Flink HadoopMapFunction
- Implementation:BerriAI Litellm Fine Tuning Types
- Implementation:Eventual Inc Daft Expression Getitem
- Implementation:Intel Ipex llm GaLore Finetuning
- Implementation:Isaac sim IsaacGymEnvs Isaacgymenvs Make
- Implementation:Apache Druid GroupingTableModule
Heuristics
- Heuristic:Romsto Speculative Decoding Shared Tokenizer Requirement
- Heuristic:Microsoft LoRA Warning Deprecated Legacy Examples
- Heuristic:Apache Beam Warning Deprecated Twister2 Runner
- Heuristic:Apache Druid Explore Compare Query Strategy
- Heuristic:Promptfoo Promptfoo Transient Error Classification
- Heuristic:Onnx Onnx Big Endian Byte Order Handling
- Heuristic:TobikoData Sqlmesh Model Change Categorization
- Heuristic:Google research Deduplicate text datasets Variable Width Pointer Optimization
- Heuristic:Farama Foundation Gymnasium Shared Memory Vector Env Optimization
- Heuristic:Microsoft Onnxruntime Memory Recomputation Optimization
Environments
- Environment:Norrrrrrr lyn WAInjectBench External Repos Dependencies
- Environment:Scikit learn contrib Imbalanced learn Python Scikit learn
- Environment:Openai Openai agents python MCP Dependencies
- Environment:Treeverse LakeFS Spark GC Environment
- Environment:Datahub project Datahub Python Ingestion
- Environment:SeldonIO Seldon core Docker Compose Local Environment
- Environment:Evidentlyai Evidently Node Frontend Environment
- Environment:Microsoft BIPIA OpenAI API Environment
- Environment:Run llama Llama index Sentence Transformers Finetuning
- Environment:Langgenius Dify Docker Deployment Environment