vistalab-technion / cs236781-tutorialsLinks
Deep Learning course tutorials
☆36Updated 5 months ago
Alternatives and similar repositories for cs236781-tutorials
Users that are interested in cs236781-tutorials are comparing it to the libraries listed below
Sorting:
- Jupyter Notebook tutorials for the Technion's CS 236756 course "Introduction to Machine Learning"☆24Updated 3 years ago
- Algorithm to alleviate catastrophic forgetting in neural networks by gating hidden units☆23Updated 4 years ago
- An uncertainty-based random sampling algorithm for data augmentation☆30Updated 4 years ago
- ☆17Updated 4 years ago
- Official implementation of ICLR 2020 paper Unsupervised Clustering using Pseudo-semi-supervised Learning☆47Updated 4 years ago
- Project for my graduate neural networks course - combining RL with VAEs☆23Updated 5 years ago
- PyTorch code for NeurIPSW 2020 paper (4th Workshop on Meta-Learning) "Few-Shot Unsupervised Continual Learning through Meta-Examples"☆20Updated 4 years ago
- Code for "Bridging the Gap between f-GANs and Wasserstein GANs", ICML 2020☆14Updated 4 years ago
- DeepPINK: reproducible feature selection in deep neural networks☆21Updated last year
- Tensorflow: Generalizing Across Domains via Cross-Gradient Training☆15Updated 7 years ago
- A TensorFlow implementation of the paper 'Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks'☆31Updated last year
- https://cs330.stanford.edu/☆62Updated 2 years ago
- [Python] Comparison of empirical probability distributions. Integral probability metrics (e.g. Kantorovich metric). f-divergences (e.g. K…☆11Updated 2 years ago
- Pretrained TorchVision models on CIFAR10 dataset (with weights)☆24Updated 4 years ago
- Official repository of the INVICTA Spring School 2024.☆16Updated last year
- Implementation of Pre-text invariant representation learning algorithm in pytorch☆11Updated 5 years ago
- Deep Critical Learning. Implementation of ProSelfLC, IMAE, DM, etc.☆31Updated 2 years ago
- A PyTorch implementation of a Deep Hidden Markov Model [Structured Inference Networks for Nonlinear State Space Models]☆57Updated 10 months ago
- A repository containing the code for the Bistable Recurrent Cell☆47Updated 4 years ago
- Courses and practical sessions for the Optimal Transport and Machine learning course at Statlearn 2018☆26Updated 7 years ago
- Boiler plate code for Torch based ML projects☆10Updated 3 years ago
- Image Segmentation using Fully Convolutional Networks in PyTorch☆11Updated 6 years ago
- Official PyTorch implementation of the paper : ProbAct: A Probabilistic Activation Function for Deep Neural Networks.☆13Updated 5 years ago
- Reproducible code for Augmentation paper☆17Updated 6 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- PyTorch implementation of Variational Autoencoder (VAE) on MNIST dataset.☆22Updated last year
- Code to study the generalisability of benchmark models on non-stationary EHRs.☆14Updated 5 years ago
- Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge☆62Updated last year
- Official code for the paper "Self-Supervised Prototypical Transfer Learning for Few-Shot Classification"☆51Updated 3 years ago
- Categorical Variational Auto-encoders in PyTorch☆21Updated 3 years ago