dmarx/dmarx-github-stars huggingface dataset:
Repository: yoshitomo-matsubara/torchdistill
Description: A coding-free framework built on PyTorch for reproducible deep learning studies. 🏆22 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.
Language: Python
Topics: amazon-sagemaker-lab, cifar10, cifar100, coco, colab-notebook, glue, google-colab, image-classification, imagenet, knowledge-distillation, natural-language-processing, nlp, object-detection, pascal-voc, pytorch, semantic-segmentation, transformer
Homepage: https://yoshitomo-matsubara.net/torchdistill/
Repository: Stable-Baselines-Team/stable-baselines
Description: Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms 
Language: Python
Topics: baselines, gym, machine-learning, openai, openai-gym, python, reinforcement-learning, rl, stable-baselines, toolbox
Homepage: https://github.com/hill-a/stable-baselines