wimlds / deepdream-workshopLinks
Software Setup for DeepDream images using Caffe and Python: https://github.com/google/deepdream
☆16Updated 9 years ago
Alternatives and similar repositories for deepdream-workshop
Users that are interested in deepdream-workshop are comparing it to the libraries listed below
Sorting:
- API for char-rnn, a multi-layer Recurrent Neural Network (LSTM, GRU, RNN) for character-level language models in Torch.☆25Updated 10 years ago
- Material for git workshop☆11Updated 7 years ago
- Collection of scripts for visualizing high dimensional data with scikit-learn and bh_tsne☆34Updated 10 years ago
- 💻 Material for a course on applied machine-learning for scientists. Taught at EPFL in spring 2017☆23Updated 8 years ago
- R interface to Tensorflow via skflow☆18Updated 9 years ago
- Modeling Social Data, Applied Mathematics, Columbia University (Spring 2015)☆33Updated 6 years ago
- Materials for a workshop on developing undergraduate classes on Bayesian statistics.☆47Updated 9 years ago
- Benchmarks of the H2O Ensemble R interface (H2O 2.0).☆14Updated 5 years ago
- ☆26Updated 9 years ago
- Module 7: Introduction to D3.js☆21Updated 9 years ago
- Deep learning examples☆13Updated 9 years ago
- Library for integrated use of H2O with Hyperopt☆13Updated last year
- Materials for the PyData San Francisco 2016 visualization tutorial☆14Updated 9 years ago
- Tweets from election day 2016☆67Updated 8 years ago
- Code for Pythonic visualization blog post☆40Updated 8 years ago
- RNN Tutorial for Artists☆186Updated 8 years ago
- a simple R implementation of variational inference for LDA☆23Updated 11 years ago
- ☆24Updated 9 years ago
- Talk for SciPy2015 "Deep Learning: Tips From The Road"☆44Updated 10 years ago
- Examples of machine learning, with an emphasis on deep learning.☆108Updated 7 years ago
- Python data analysis course for 2017 NGCM Summer Academy☆21Updated 8 years ago
- This depot contain tutorials for real beginners who want to understand machine learning by reading some code.☆44Updated 7 years ago
- A R/Shiny app for interactive RNN tensorflow models☆118Updated 9 years ago
- Healthcare Twitter Analysis☆26Updated 9 years ago
- Using stochastic gradient descent (SGD) with explicit and implicit updates to fit large-scale statistical models.☆16Updated 11 years ago
- Predicting sales with Pandas☆15Updated 10 years ago
- A Tutorial on Simple Machine Learning Methods Held for the Graduate School on Bionics, 2012☆54Updated 12 years ago
- Advanced workshop on XGBoost with Tianqi Chen in Santa Monica, June 2, 2016☆27Updated 9 years ago
- ☆66Updated 2 years ago
- Dockerfile for multiple machine learning tools.☆162Updated 8 years ago