Hacker News
- Hummingbird: Compile trained ML models into tensor computation https://github.com/microsoft/hummingbird 9 comments
Linking pages
- GitHub - aymericdamien/TopDeepLearning: A list of popular github projects related to deep learning https://github.com/aymericdamien/TopDeepLearning 35 comments
- GitHub - microsoft/LightGBM: A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. https://github.com/Microsoft/LightGBM 11 comments
- Introducing EXGBoost: Gradient Boosting in Elixir https://dockyard.com/blog/2023/07/18/introducing-exgboost-gradient-boosting-in-elixir 8 comments
- GitHub - mikeroyal/Neuromorphic-Computing-Guide: Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures. https://github.com/mikeroyal/Neuromorphic-Computing-Guide 7 comments
- Export and run models with ONNX https://neuml.hashnode.dev/export-and-run-models-with-onnx 4 comments
- GitHub - mikeroyal/Machine-Learning-Guide: Machine learning Guide. Learn all about Machine Learning Tools, Libraries, Frameworks, and Training Models. https://github.com/mikeroyal/Machine-Learning-Guide 2 comments
- GitHub - r0f1/datascience: Curated list of Python resources for data science. https://github.com/r0f1/datascience 0 comments
- GitHub - ml-tooling/best-of-ml-python: 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly. https://github.com/ml-tooling/best-of-ml-python 0 comments
- GitHub - ritchieng/the-incredible-pytorch: The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch. https://github.com/ritchieng/the-incredible-pytorch 0 comments
- GitHub - merrymercy/awesome-tensor-compilers: A list of awesome compiler projects and papers for tensor computation and deep learning. https://github.com/merrymercy/awesome-tensor-compilers 0 comments
- Machine Learning Toolbox https://amitness.com/toolbox/ 0 comments
Linked pages
- PyTorch http://pytorch.org/ 100 comments
- Using Python Environments in Visual Studio Code https://code.visualstudio.com/docs/python/environments#_environment-variable-definitions-file 28 comments
- GitHub - microsoft/LightGBM: A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. https://github.com/Microsoft/LightGBM 11 comments
- ONNX | Home https://onnx.ai/ 1 comment
- scikit-learn: machine learning in Python — scikit-learn 1.3.1 documentation http://scikit-learn.org/stable/index.html 1 comment
- GitHub - pytorch/serve: Serve, optimize and scale PyTorch models in production https://github.com/pytorch/serve 1 comment
- GitHub - dmlc/xgboost: Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow https://github.com/dmlc/xgboost 0 comments
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