dmarx/dmarx-github-stars huggingface dataset:
Repository: IntelLabs/distiller
Description: Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research.  https://intellabs.github.io/distiller
Language: Jupyter Notebook
Topics: automl-for-compression, deep-neural-networks, distillation, early-exit, group-lasso, jupyter-notebook, network-compression, onnx, pruning, pruning-structures, pytorch, quantization, regularization, truncated-svd
Repository: catboost/catboost
Description: 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.
Language: Python
Topics: big-data, catboost, categorical-features, coreml, cuda, data-mining, data-science, decision-trees, gbdt, gbm, gpu, gpu-computing, gradient-boosting, kaggle, machine-learning, python, r, tutorial
Homepage: https://catboost.ai