QuantScientist / Deep-Learning-Boot-Camp
☆1,192Updated this week
Related projects: ⓘ
- Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"☆2,785Updated 3 years ago
- Various tutorials given for welcoming new students at MILA.☆986Updated 6 years ago
- Implementations of CNNs, RNNs, GANs, etc☆1,050Updated 6 years ago
- Demo of running NNs across different frameworks☆1,655Updated last year
- Practical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE☆1,946Updated 7 years ago
- A collection of video resources for machine learning☆1,537Updated 3 years ago
- A list of resources for all invited talks, tutorials, workshops and presentations at NIPS 2017☆891Updated 6 years ago
- Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library☆3,249Updated 7 months ago
- An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorpor…☆2,562Updated 4 years ago
- Implementation of research papers on Deep Learning+ NLP+ CV in Python using Keras, Tensorflow and Scikit Learn.☆1,819Updated last year
- Introduction to Deep Neural Networks with Keras and Tensorflow☆2,942Updated last year
- Notes for Fastai Deep Learning Course☆1,126Updated last year
- Essential Guide to keep up with AI/ML/DL/CV☆1,030Updated 2 years ago
- A collection of Reinforcement Learning algorithms from Sutton and Barto's book and other research papers implemented in Python.☆1,048Updated 6 years ago
- Topics Course on Deep Learning UC Berkeley☆1,303Updated 6 years ago
- Summaries and notes on Deep Learning research papers☆4,395Updated 6 years ago
- A CNN visualizer☆1,007Updated 6 years ago
- Deep Learning tutorials in jupyter notebooks.☆1,811Updated last year
- TensorFlow Exercises - focusing on the comparison with NumPy.☆535Updated 5 years ago
- Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.☆3,192Updated 4 years ago
- Tutorials and implementations for "Self-normalizing networks"☆1,580Updated 2 years ago
- Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017)☆1,018Updated 6 years ago
- Implementation of recent Deep Learning papers☆1,814Updated 3 years ago
- (Deprecated, use https://github.com/Kaggle/kaggle-api instead) An unofficial Kaggle command line tool.☆674Updated 6 years ago
- ARCHIVED: Contains historical course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ …☆1,478Updated 5 years ago
- ☆1,274Updated this week
- Organized & Useful Resources about Deep Learning with TensorFlow☆21Updated 4 years ago
- Collaboratively build, visualize, and design neural nets in browser☆1,121Updated 3 years ago
- This note presents in a technical though hopefully pedagogical way the three most common forms of neural network architectures: Feedforwa…☆1,385Updated 4 years ago
- Deep learning with dynamic computation graphs in TensorFlow☆1,825Updated 3 years ago