munkai / pytorch-tutorial
Deep learning and natural language processing tutorial in PyTorch
☆21Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for pytorch-tutorial
- An implementation of convolutional networks in NumPy!☆80Updated 3 years ago
- Material for my course: Optimization in Machine Learning☆31Updated 3 years ago
- Weekly humanitarian AI reading group at Mila.☆21Updated 5 years ago
- ☆20Updated 4 years ago
- Repo for open sourcing the NAMs.☆25Updated 4 years ago
- Saraswati AI | Superhuman (AI) Teacher: All of Education, for All☆39Updated 4 years ago
- ☆32Updated 4 years ago
- Quick modules to turn regular Neural Networks to Bayesian Neural Networks with Dropout.☆35Updated 3 years ago
- Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2021 (https://probabilistic.ai/)☆47Updated 3 years ago
- Python notebooks and slides for CE9010: Introduction to Data Science, Semester 2 2017/18☆52Updated 6 years ago
- Visualising the Transformer encoder☆111Updated 4 years ago
- Central repository for all lectures on deep learning at UPC ETSETB TelecomBCN.☆51Updated last year
- Repository with all material for SMILES, the Summer School of Machine Learning at Skoltech, taking place from the 16th to the 21st of Aug…☆54Updated 4 years ago
- Generative Deep Learning Sessions led by Anugraha Sinha (Machine Learning Tokyo)☆25Updated 4 years ago
- Implements sharpness-aware minimization (https://arxiv.org/abs/2010.01412) in TensorFlow 2.☆60Updated 3 years ago
- Code examples for my Interpretable Machine Learning Blog Series☆56Updated 4 years ago
- Materials for short course on Bayesian inference at the Data Science Summer School☆13Updated 5 years ago
- Multislice PHATE for tensor embeddings☆59Updated 3 years ago
- TF2.0 port for Augmix paper☆79Updated 4 years ago
- The most parameter efficient machine learning models on a few popular benchmarks☆42Updated 2 years ago
- Some simple demos I use in my optimization in ML course. Includes implementations of ML loss functions (Logistic Loss, SVM Loss, ..) and …☆13Updated 3 years ago
- Deep Probabilistic Programming Course @ DIKU☆56Updated 4 years ago
- ☆48Updated 4 years ago
- Paper reading list☆17Updated 4 years ago
- Fourth place solution to the "OpenVaccine: COVID-19 mRNA Vaccine Degradation Prediction" organized by Stanford University and Kaggle☆20Updated 4 years ago
- Experiment orchestration☆103Updated 4 years ago
- Experiments on different dataset on how to grow networks during training to learn new image categories.☆62Updated 4 years ago
- Code for the anonymous submission "Cockpit: A Practical Debugging Tool for Training Deep Neural Networks"☆31Updated 3 years ago
- Short Course on Optimization for Machine Learning - Slides and Practical Labs - DS3 Data Science Summer School, June 24 to 28, 2019, Pari…☆20Updated 5 years ago