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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:Langgenius Dify Visual Workflow Builder
- Workflow:Datajuicer Data juicer Text Data Processing Pipeline
- Workflow:Microsoft Agent framework Declarative Agent Definition
- Workflow:Neuml Txtai Semantic Search
- Workflow:Datahub project Datahub Docker Quickstart Deployment
- Workflow:Apache Hudi Flink Table Clustering
- Workflow:InternLM Lmdeploy W8A8 SmoothQuant Quantization
- Workflow:Confident ai Deepeval AI Agent Evaluation
- Workflow:Googleapis Python genai Model Fine Tuning
- Workflow:Openai Openai agents python Streaming Agent Execution
Principles
- Principle:Apache Kafka Squash Merge
- Principle:LaurentMazare Tch rs Generative Adversarial Network
- Principle:Shiyu coder Kronos Tokenizer Encoding
- Principle:Triton inference server Server Inference Request
- Principle:Zai org CogVideo Inference LoRA Loading
- Principle:Scikit learn Scikit learn Kernel Methods
- Principle:Tensorflow Serving Class Registration Pattern
- Principle:Bentoml BentoML Model Export Import
- Principle:Gretelai Gretel synthetics ACTGAN Model Initialization
- Principle:Facebookresearch Habitat lab Data Recording
Implementations
- Implementation:Openai Openai node Error Classes
- Implementation:ArroyoSystems Arroyo Json Form
- Implementation:Sgl project Sglang Sampling Kernels
- Implementation:Huggingface Trl GRPO Model Kwargs Assembly
- Implementation:Teamcapybara Capybara Node Actions Click Button
- Implementation:Onnx Onnx Shape Inference Utils
- Implementation:OpenRLHF OpenRLHF Compute approx kl
- Implementation:Open compass VLMEvalKit Emu
- Implementation:FlagOpen FlagEmbedding Reinforced IR GPTAgent
- Implementation:Datajuicer Data juicer ParquetFormatter
Heuristics
- Heuristic:Rapidsai Cuml GPU Cache Alignment
- Heuristic:Eric mitchell Direct preference optimization FSDP Mixed Precision BFloat16
- Heuristic:Avdvg InjectGuard Module Level Initialization
- Heuristic:Facebookresearch Audiocraft FSDP Distributed Training Tips
- Heuristic:Pytorch Serve Ampere Tensor Core Optimization
- Heuristic:Protectai Llm guard Token Limit Early Guard
- Heuristic:Nautechsystems Nautilus trader Parquet Row Group Tuning
- Heuristic:Romsto Speculative Decoding Ngram Order Selection
- Heuristic:Roboflow Rf detr Small Dataset Oversampling
- Heuristic:Deepspeedai DeepSpeed ZeRO Pipeline Incompatibility
Environments
- Environment:Scikit learn Scikit learn OpenMP Thread Configuration
- Environment:Iterative Dvc Git SCM Environment
- Environment:Sgl project Sglang Kubernetes
- Environment:Mlc ai Mlc llm TVM Runtime Environment
- Environment:DataTalksClub Data engineering zoomcamp Kestra Orchestration Environment
- Environment:Intel Ipex llm Pipeline Parallel Environment
- Environment:Microsoft DeepSpeedExamples ZeRO Inference Runtime
- Environment:SqueezeAILab ETS Multi GPU Sglang Runtime
- Environment:Triton inference server Server GPU CUDA Runtime
- Environment:MarketSquare Robotframework browser Node Runtime