Deep Learning Tutorial notes and code. See the wiki for more info.
☆12Nov 11, 2014Updated 11 years ago
Alternatives and similar repositories for DeepLearningTutorials
Users that are interested in DeepLearningTutorials are comparing it to the libraries listed below
Sorting:
- Common Code Workflow tutorial on Theano☆16Oct 29, 2015Updated 10 years ago
- TensorFlow solution to the Thomson problem☆18Apr 13, 2020Updated 5 years ago
- ☆13Jan 22, 2015Updated 11 years ago
- Sentiment Analysis with Ensemble☆244Jul 15, 2016Updated 9 years ago
- solution of our team Dmitry&Leustagos for Amazon competition (3rd place)☆30Aug 4, 2013Updated 12 years ago
- An Information Extraction Framework with Deep Learning developed at New York University☆15Oct 27, 2016Updated 9 years ago
- Example of using HDInsight (Storm) to read events from Event Hub, write events to HBase, and visualize events using Socket.IO and D3.js☆15Jan 3, 2022Updated 4 years ago
- Python interface for the Berkeley Parser using JPype☆12Dec 18, 2015Updated 10 years ago
- Data mining project to predict stock prices on basis of sentiments.☆11Apr 2, 2016Updated 9 years ago
- crumbling large graphs into connected components☆12Jan 8, 2018Updated 8 years ago
- 2nd place submission to the MEG decoding competition https://www.kaggle.com/c/decoding-the-human-brain☆18Aug 5, 2014Updated 11 years ago
- GEFCom 2012 Wind Forecast - 1st place☆24Jul 8, 2013Updated 12 years ago
- An implementation of gibbs sampling for Latent Dirichlet Allocation☆30Aug 3, 2011Updated 14 years ago
- Diving Deep into Sentiment: Understanding Fine-tuned CNNs for Visual Sentiment Prediction☆20Aug 17, 2017Updated 8 years ago
- Crino: a neural-network library based on Theano☆12Mar 8, 2016Updated 10 years ago
- Run Nx2 Cross Validation for multiple binary classifiers in parallel with optional downsampling☆13Jan 27, 2015Updated 11 years ago
- Deep neural network implemented with gnumpy/cudamat☆16Dec 9, 2013Updated 12 years ago
- ☆12Jul 19, 2019Updated 6 years ago
- Shell scripts to assist downloading & processing the Google n-grams corpora☆14Apr 26, 2017Updated 8 years ago
- load word embeddings to Torch.Tensor☆14May 12, 2016Updated 9 years ago
- Recurrent neural network package for problems of time-series prediction and generation☆20May 11, 2017Updated 8 years ago
- cs249_Parker_Proj1☆11Jun 13, 2014Updated 11 years ago
- Random Forest Learner to predict stock prices☆13Dec 19, 2013Updated 12 years ago
- RNN for Spoken Language Understanding☆432Mar 1, 2020Updated 6 years ago
- NLP Tools built with Pacaya☆16Oct 30, 2017Updated 8 years ago
- online learning for time series prediction☆13May 17, 2014Updated 11 years ago
- A Python interface to the Feature Selection Toolkit, contains JMI, BetaGamma, CMIM, CondMI, DISR, ICAP, and mRMR☆19Oct 28, 2014Updated 11 years ago
- Monokai GNOME Terminal colors, based on colors from https://github.com/oneKelvinSmith/monokai and palette setup scripts from https://gith…☆10Jun 15, 2022Updated 3 years ago
- papers about event, sentence, short text, causality in representation, classification, reasoning☆17Apr 29, 2018Updated 7 years ago
- Assignments of CS190.1x, Scalable Machine Learning☆18Aug 2, 2015Updated 10 years ago
- The major goal of this project is to predict financial re- cession given the frequencies of the top 500 word stems in the reports of fina…☆14Apr 21, 2015Updated 10 years ago
- Pacaya - A Library for Hybrid Graphical Models and Neural Networks☆45Jul 6, 2017Updated 8 years ago
- [TPAMI-2018] A C++ framework for training/testing Support Vector Machine with Gaussian Sample Uncertainty (SVM-GSU).☆13Feb 20, 2018Updated 8 years ago
- ☆12Mar 24, 2024Updated last year
- Prize winning solution to the SeeClickFix contest hosted on Kaggle, developed by teammates Bryan Gregory and Miroslaw Horbal. The purpose…☆26Jan 6, 2014Updated 12 years ago
- A space for code and projects around analysing news content☆23Feb 8, 2018Updated 8 years ago
- ☆37Nov 25, 2013Updated 12 years ago
- Multi-Graph Multi-Label Learning☆11May 30, 2018Updated 7 years ago
- ☆17Aug 19, 2016Updated 9 years ago