mlberkeley / deep-learning-reading-group
A public wiki for the deep learning reading group at UC Berkeley
☆27Updated 8 years ago
Alternatives and similar repositories for deep-learning-reading-group:
Users that are interested in deep-learning-reading-group are comparing it to the libraries listed below
- Deep Learning DTU summer school 2015☆22Updated 8 years ago
- Repository for practical assignments for UvA Deep Learning Course 2016☆51Updated 7 years ago
- Lasagne / Theano tutorials for Nvidia Deep Learning Summercamp 2016☆26Updated 8 years ago
- Quick function to go from a dictionary of sets of (images, labels, feature vectors) to checkpoints that can be opened in Tensorboard☆33Updated 6 years ago
- Adversarial Multiclass Classification: A Risk Minimization Perspective☆28Updated 5 years ago
- Programs with word vectors, RNN, NLP stuff, etc☆18Updated 7 years ago
- A collection of tutorials from Deep Learning conferences.☆31Updated 8 years ago
- 🔍 Attentional interfaces in TensorFlow.☆61Updated 6 years ago
- Explore different deep-learning frameworks☆18Updated 6 years ago
- Playing with various deep learning tools and network architectures☆70Updated 7 years ago
- repo for my ODSC West 2017 Talk: "Livecoding Madness: Let's Build a Deep Learning Library"☆12Updated 7 years ago
- Implementation of several black-box optimisation methods to tune hyperparameters of machine learning models.☆78Updated 6 years ago
- Scrapes the abstracts to NIPS 2017 papers.☆40Updated 7 years ago
- A curated list of resources dedicated to bridge between Cognitive Science and Deep Learning☆71Updated 7 years ago
- A small collection of code snippets and notes explaining the foundations of the REINFORCE algorithm.☆35Updated 5 years ago
- RNN Approaches to Integer Sequence Learning--the famous Kaggle competition☆27Updated 8 years ago
- RNNprop☆36Updated 7 years ago
- Practice for coding interviews.☆36Updated 5 years ago
- Columbia Advanced Machine Learning Seminar☆24Updated 6 years ago
- Active Learning☆56Updated 9 years ago
- Experiments in Bayesian Machine Learning☆69Updated 5 years ago
- ☆42Updated 6 years ago
- Code needed to reproduce "Modeling documents with Generative Adversarial Networks"☆38Updated 7 years ago
- CS 294: Deep Reinforcement Learning, Spring 2017 Berkeley☆11Updated 8 years ago
- Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data☆26Updated 8 years ago
- Datasets and notebooks☆13Updated 8 years ago
- Adversarial Workshop code and presentation☆38Updated 8 years ago
- ☆14Updated 7 years ago
- Talk for SciPy2015 "Deep Learning: Tips From The Road"☆44Updated 9 years ago
- Jupyter notebooks and code for Intro to DL talk at Genesys☆14Updated 8 years ago