ajinkya98 / TensorBoard_PyTorch
☆17Updated 4 years ago
Alternatives and similar repositories for TensorBoard_PyTorch:
Users that are interested in TensorBoard_PyTorch are comparing it to the libraries listed below
- This repository provides a Colab Notebook that shows how to use Spatial Transformer Networks inside CNNs in Keras.☆36Updated 2 years ago
- Energy Based Models are a quite novel technique for density estimation. In this university project I explore this new research topic and …☆16Updated 3 years ago
- Recurrent neural networks: building a custom LSTM/GRU cell in PyTorch☆28Updated 4 years ago
- Official implementation of ICLR 2020 paper Unsupervised Clustering using Pseudo-semi-supervised Learning☆48Updated 4 years ago
- Basic guidance on how to contribute to Papers with Code☆20Updated 2 years ago
- ☆12Updated 2 years ago
- MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space☆40Updated 4 years ago
- PyTorch implementation of Variational Autoencoder (VAE) on MNIST dataset.☆22Updated 11 months ago
- Benchmark time series data sets for PyTorch☆34Updated last year
- JAX implementation of Graph Attention Networks☆13Updated 3 years ago
- Implementation of transformers based architecture in PyTorch.☆54Updated 4 years ago
- my codes for learning attention mechanism☆50Updated 4 years ago
- This repo will be an effort to learn and implement some of the milestone papers and models in Deep Learning based language models.☆11Updated 2 years ago
- TensorFlow implementation of Barlow Twins (https://arxiv.org/abs/2103.03230).☆41Updated 3 years ago
- Project page for paper Self-supervised Representation Learning with Relative Predictive Coding☆17Updated 3 years ago
- Official repository for the paper "Fast Predictive Uncertainty for Classification with Bayesian Deep Networks". Accepted at UAI 2022. htt…☆12Updated 2 years ago
- An implementation of Squared Earth-Mover's Distance loss for Neural Networks.☆14Updated last year
- Code repository for the AISTATS 2021 paper "Towards Understanding the Optimal Behaviors of Deep Active Learning Algorithms"☆15Updated 3 years ago
- PyTorch implementation of FNet: Mixing Tokens with Fourier transforms☆25Updated 3 years ago
- A variational auto-encoder (VAE) framework with a new type of prior "Variational Mixture of Posteriors" prior, or VampPrior for short.☆9Updated 3 years ago
- TensorFlow 2 implementation of the paper Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution …☆45Updated 3 years ago
- A simple implementation of a deep linear Pytorch module☆19Updated 4 years ago
- Companion code for a tutorial on using Hydra.☆29Updated 3 years ago
- notebooks of cool EBM visualizations☆15Updated 4 years ago
- Repository for the code assignment of the Deep Learning 1 course, Fall 2021 edition☆10Updated 2 years ago
- reproduces experiments from "Grounding inductive biases in natural images: invariance stems from variations in data"☆17Updated 4 months ago
- This repository shows how to implement a basic model for multimodal entailment.☆10Updated 3 years ago
- Package for Multimodal Autoencoders in TensorFlow / Keras☆18Updated 4 years ago
- Deep Critical Learning. Implementation of ProSelfLC, IMAE, DM, etc.☆31Updated 2 years ago
- Shows how to do parameter ensembling using differential evolution.☆10Updated 3 years ago