Subwai
Scripts for training an AI to play the endless runner Subway Surfers using a supervised machine learning approach by imitation and a convolutional neural network (CNN) for image classification
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Computervision Recipes | 9,225 | 3 months ago | 66 | mit | Jupyter Notebook | |||||
| Best Practices, code samples, and documentation for Computer Vision. | ||||||||||
| Techniques | 7,678 | 17 days ago | 2 | apache-2.0 | ||||||
| Techniques for deep learning with satellite & aerial imagery | ||||||||||
| Darts | 2,775 | 4 years ago | 71 | apache-2.0 | Python | |||||
| Differentiable architecture search for convolutional and recurrent networks | ||||||||||
| Tensorflow2.0 Examples | 1,692 | a year ago | 99 | mit | Jupyter Notebook | |||||
| 🙄 Difficult algorithm, Simple code. | ||||||||||
| Fast Autoaugment | 1,358 | 3 years ago | 22 | mit | Python | |||||
| Official Implementation of 'Fast AutoAugment' in PyTorch. | ||||||||||
| Attention Gated Networks | 1,099 | 3 years ago | mit | Python | ||||||
| Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation | ||||||||||
| Awesome Backbones | 1,079 | 5 months ago | 15 | Python | ||||||
| Integrate deep learning models for image classification | Backbone learning/comparison/magic modification project | ||||||||||
| Pytorch_classification | 1,055 | a year ago | 39 | mit | Jupyter Notebook | |||||
| 利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码 | ||||||||||
| Quickdraw | 851 | a year ago | 6 | mit | Python | |||||
| Implementation of Quickdraw - an online game developed by Google | ||||||||||
| Trashnet | 501 | a year ago | 7 | mit | Lua | |||||
| Dataset of images of trash; Torch-based CNN for garbage image classification | ||||||||||
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Python
Video Game
Machine Learning
Artificial Intelligence
Computer Vision
Convolutional Neural Networks
Image Classification
Supervised Learning