Hacker News
- ThunderGBM: Fast GBDTs and Random Forests on GPUs https://github.com/Xtra-Computing/thundergbm 2 comments
Linking pages
- GitHub - josephmisiti/awesome-machine-learning: A curated list of awesome Machine Learning frameworks, libraries and software. https://github.com/josephmisiti/awesome-machine-learning 58 comments
- GitHub - Xtra-Computing/thundersvm: ThunderSVM: A Fast SVM Library on GPUs and CPUs https://github.com/zeyiwen/thundersvm 21 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
- Machine Learning Toolbox https://amitness.com/toolbox/ 0 comments
Linked pages
- Apple Turns Its Back On Customers And NVIDIA With macOS Mojave https://www.forbes.com/sites/marcochiappetta/2018/12/11/apple-turns-its-back-on-customers-and-nvidia-with-macos-mojave/ 99 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
- CUDA Toolkit 12.1 Downloads | NVIDIA Developer https://developer.nvidia.com/cuda-downloads 5 comments
- 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
- GitHub - catboost/catboost: A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU. https://github.com/catboost/catboost 0 comments
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