852 Open source projects that are alternatives of or similar to Introduction-to-Deep-Learning-and-Neural-Networks-Course

NMA deep learning course

PyTorch code for CVIU paper "AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction"

Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

videos, lectures, blogs for Deep Learning

Deep learning codes and projects using Python

A curated list of dedicated resources and applications

Codes and Templates from the SuperDataScience Course

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

PyTorch/Tensorflow solutions for Stanford's CS231n: "CNNs for Visual Recognition"

This is just a collection of projects that made during my DEEPLEARNING NANODEGREE by UDACITY

Zero-Shot Text-to-Image Generation VQGAN+CLIP Dockerized

Code for the paper: Benhenda, M. 2017. ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? arXiv preprint arXiv:1708.08227.

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

SMILE: Semantically-guided Multi-attribute Image and Layout Editing, ICCV Workshops 2021.

Repository for MAD-GAN Paper done in ML CAMP Jeju

Tensorflow Implementation for paper "self-supervised generative adversarial networks"

Implementation of Conditional Generative Adversarial Networks in PyTorch

Subgraph Neural Networks (NeurIPS 2020)

Performance comparison of existing GAN based Text To Image algorithms. (GAN-CLS, StackGAN, TAC-GAN)

Generative Adversarial Networks in TensorFlow 2.0

speech enhancement GAN on waveform/log-power-spectrum data using Improved WGAN

[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.

HashGAN: Deep Learning to Hash with Pair Conditional Wasserstein GAN

Using Transformers from HuggingFace in R

A implementation of DCGAN (Deep Convolutional Generative Adversarial Networks) for CIFAR10 image

A collection of Danish Transformers

Summary of social recommendation papers and codes

AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations

Code for "Training Generative Adversarial Networks with Binary Neurons by End-to-end Backpropagation"

This repository is a non-official implementation of TimeGAN (Yoon et al., NIPS2019) using PyTorch.

[ICLR 2021] "GANs Can Play Lottery Too" by Xuxi Chen, Zhenyu Zhang, Yongduo Sui, Tianlong Chen

Official code (Pytorch) for paper Perception-Enhanced Single Image Super-Resolution via Relativistic Generative Networks

Paper notes in deep learning/machine learning and computer vision

Improving MMD-GAN training with repulsive loss function

Code for "Distributed, Egocentric Representations of Graphs for Detecting Critical Structures" (ICML 2019)

3D-aware GANs based on NeRF (arXiv).

An Algorithm to Quantify Robustness of Recurrent Neural Networks

A repo containing code covering various aspects of deep learning on Pytorch. Great for beginners and intermediate in the field

Pure tensorflow implementation of progressive growing of GANs

This is the official implementation of our neural-network-based fast diffuse room impulse response generator (FAST-RIR) for generating room impulse responses (RIRs) for a given acoustic environment.

Tensorflow implementation of paper "unsupervised image to image translation networks"

Code for “Convolutional Generative Adversarial Networks with Binary Neurons for Polyphonic Music Generation”

Official code for UnICORNN (ICML 2021)

Context-Aware Visual Compatibility Prediction (https://arxiv.org/abs/1902.03646)

No description or website provided.

Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".

A sketch extractor for anime/illustration.

[TPAMI Under Submission] Generative Multi-Label Zero-Shot Learning

No description or website provided.

Implementation of Uniformer, a simple attention and 3d convolutional net that achieved SOTA in a number of video classification tasks, debuted in ICLR 2022

MultiGraphGAN for predicting multiple target graphs from a source graph using geometric deep learning.

Code for Editing Factual Knowledge in Language Models

Cross-Domain Car Detection Using Unsupervised Image-to-Image Translation: From Day to Night

RNN benchmarks of pytorch, tensorflow and theano

Code of the NeurIPS 2021 paper: Language and Visual Entity Relationship Graph for Agent Navigation

Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage machine learning, deep learning and deep transfer learning to learn and solve popular tasks using NLP including NER, Classification, Recommendation \ Information Retrieval, Summarization, Classification, Language Translation, Q&A and T…

A robot learning from demonstration framework that trains a recurrent neural network for autonomous task execution

Transformer/Transformer-XL/R-Transformer examples and explanations