cvicom / deep_learning_escuela_verano_19
Entorno, notebooks y codigo para la escuela de verano de Deep Learning @UNAM '19
☆11Updated 5 years ago
Alternatives and similar repositories for deep_learning_escuela_verano_19
Users that are interested in deep_learning_escuela_verano_19 are comparing it to the libraries listed below
Sorting:
- Diapositivas, ejercicios, código de ejemplo y página del curso de Datos Masivos para la licenciatura de Ciencia de Datos☆19Updated 3 years ago
- Materiales del taller de Meta Aprendizaje de la RIIAA 2020.☆13Updated 4 years ago
- Workshop for GNN at RIIAA☆21Updated 3 years ago
- Presentations & notebooks from our talks /workshops/meetups/etc☆24Updated 7 years ago
- Pretrained TorchVision models on CIFAR10 dataset (with weights)☆24Updated 4 years ago
- Class Applied Deep Learning - Summer 2018☆34Updated 6 years ago
- Material for the Paper Reading sessions organized by Machine Learning Tokyo☆14Updated 5 years ago
- Stats 479 Project☆22Updated 6 years ago
- Source code for ``How far can we go without convolution: Improving fully-connected networks'' published at ICLR 2016 workshop☆13Updated 9 years ago
- Wining solution and its further development for MICCAI 2017 Endoscopic Vision Challenge Angiodysplasia Detection and Localization☆16Updated 5 years ago
- Central repository for all lectures on deep learning at UPC ETSETB TelecomBCN.☆54Updated 2 years ago
- A (possibly/eventually annotated?) collection of resources (books, demos, lectures, etc) that I personally like for various topics in mac…☆32Updated 6 years ago
- Bayesian Poisson Tucker decomposition☆17Updated 8 years ago
- A simple recommendation engine (by way of convolutions and embeddings) written in TensorFlow☆20Updated 7 years ago
- ☆13Updated 2 years ago
- minimum viable experiment using evolution strategy to play catch☆21Updated 7 years ago
- Hidden Markov model vs. Maximum-entropy Markov model☆18Updated 9 years ago
- ☆32Updated 4 years ago
- Large-scale topic discovery with Sampled-MinHashing☆10Updated 5 years ago
- Browse the CS/AI/ML research paper graph☆51Updated last year
- ☆27Updated 7 years ago
- Code for the TrackML competition on Kaggle☆16Updated 4 years ago
- PyConDE 2019 talk about interpretable machine learning☆13Updated 4 years ago
- AutoWeka for python☆29Updated 11 years ago
- Strategies to deploy deep learning models☆27Updated 6 years ago
- ☆24Updated 9 years ago
- Notebooks explaining how to plot a tweets heatmap of a city☆60Updated 9 years ago
- 📚 Text classification library with Keras☆52Updated 4 years ago
- Utilizing nbdev in Google Colaboratory☆14Updated 2 years ago
- Discovering deep embedding spaces for Psychiatric imaging☆16Updated 7 years ago