848 Open source projects that are alternatives of or similar to deep-learning-roadmap

Awesome Neural Architecture Search Papers

Conversational AI Reading Materials

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..

[ICLR 2021, Spotlight] Large Scale Image Completion via Co-Modulated Generative Adversarial Networks

🤖A list of resources to help anyone getting started with GANs 🤖

It contains the coursework and the practice I have done while learning Deep Learning.🚀 👨‍💻💥 🚩🌈

[NeurIPS 2018] Visual Object Networks: Image Generation with Disentangled 3D Representation.

[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training

Grayscale Image Colorization with Generative Adversarial Networks. https://arxiv.org/abs/1803.05400

[ACM MM 2018 Oral] GestureGAN for Hand Gesture-to-Gesture Translation in the Wild

This repo is about NAS

Block-wisely Supervised Neural Architecture Search with Knowledge Distillation (CVPR 2020)

Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

[ICML2020] "AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks" by Yonggan Fu, Wuyang Chen, Haotao Wang, Haoran Li, Yingyan Lin, Zhangyang Wang

Generate Cartoon Images using Generative Adversarial Network

[CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing

A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps

🦓<->🦒 🌃<->🌆 A collection of image to image papers with code (constantly updating)

A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.

🔥3D-RecGAN in Tensorflow (ICCV Workshops 2017)

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

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

Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.

PyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN

A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.

Compilation of the state of the art of tools, articles, forums and links of interest to generate and detect any type of synthetic content using deep learning.

A curated list of automated deep learning (including neural architecture search and hyper-parameter optimization) resources.

"NAS evaluation is frustratingly hard", ICLR2020

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

Paper notes in deep learning/machine learning and computer vision

Generating Text through Adversarial Training(GAN) using Skip-Thought Vectors

Torch implementation of various types of GAN (e.g. DCGAN, ALI, Context-encoder, DiscoGAN, CycleGAN, EBGAN, LSGAN)

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

Automated deep learning algorithms implemented in PyTorch.

[CVPR 2019 Oral] Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation

Synthetic Data Generation for tabular, relational and time series data.

👔👗🕶️🎩 Cool resources about Fashion + AI! (papers, datasets, workshops, companies, ...) (constantly updating)

Curated list of awesome GAN applications and demo

Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

Bringing Old Photo Back to Life (CVPR 2020 oral)

A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.

🔥3D-RecGAN++ in Tensorflow (TPAMI 2018)

An official PyTorch implementation of the paper "Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language", NeurIPS 2018

[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions

EdgeConnect: Structure Guided Image Inpainting using Edge Prediction, ICCV 2019 https://arxiv.org/abs/1901.00212

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution

Cross-domain Correspondence Learning for Exemplar-based Image Translation. (CVPR 2020 Oral)

Toward Multimodal Image-to-Image Translation

Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)

FineGAN: Unsupervised Hierarchical Disentanglement for Fine-grained Object Generation and Discovery

CM-NAS: Cross-Modality Neural Architecture Search for Visible-Infrared Person Re-Identification (ICCV2021)

GIF is a photorealistic generative face model with explicit 3D geometric and photometric control.

Reproducible Rapid Research for Neural Architecture Search (NAS)

PaddleSlim is an open-source library for deep model compression and architecture search.

[NeurIPS 2018] [JSAIT] PacGAN: The power of two samples in generative adversarial networks

Image-to-Image Translation in PyTorch

A sketch extractor for anime/illustration.

Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai