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Image-Captioning. Image Captioning using InceptionV3 and beam search
328google-interview-university. A complete daily plan for studying to become a Google software engineer.
112DCGAN-Keras. Deep Convolutional Generative Adverserial Networks
46MNIST-Keras. Using various CNN techniques on the MNIST dataset
43Semantic-Image-Segmentation. Applying the 100 Layer Tiramisu on the Camvid Dataset
29Encryption-Tool. This python program Encrypts everything with AES 256 bit algorithm.
23Visualization-of-Convolutional-Layers. Jupyter Notebook
22Predicting-Next-Character-using-RNN. Uses RNN on the Nietzsche dataset
15Neural-Style-Transfer. Using CNN to achieve style transfer
13Alert-on-Intrusion. Sends you a sms and takes an image after every failed login attempt
6Keylogger. Logs the keystrokes silently
4awesome-datascience. :memo: An awesome Data Science repository to learn and apply for real world problems.
3keras-resources. Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library
2reinforcement-learning. Minimal and Clean Reinforcement Learning Examples
2setup.py. 📦 A Human's Guide to setup.py.
1the-incredible-pytorch. The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
1keras-applications. Reference implementations of popular deep learning models.
1keras. Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.
1Data-Science. Jupyter Notebook
1CIFAR-10. Applying CNN on CIFAR-10
1keras-preprocessing. Utilities for working with image data, text data, and sequence data.
1Algorithms. Implementation of Data Structures and Algorithms
1keras-io. Keras documentation, hosted live at keras.io
1IMDB-Neural-Networks. Using CNN and RNN for sentimental analysis
1tensorflow. An Open Source Machine Learning Framework for Everyone
1Pytorch-Implementations. Jupyter Notebook
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