Official Code for DragGAN (SIGGRAPH 2023)
- artificial-intelligence
- generative-adversarial-network
- generative-models
- image-manipulation
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Official Code for DragGAN (SIGGRAPH 2023)
Image-to-Image Translation in PyTorch
PyTorch implementations of Generative Adversarial Networks.
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
Image-to-image translation with conditional adversarial nets
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
Fawkes, privacy preserving tool against facial recognition systems. More info at https://sandlab.cs.uchicago.edu/fawkes
Interactive Image Generation via Generative Adversarial Networks
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
Algorithms for outlier, adversarial and drift detection
AI-IMU Dead-Reckoning
Code for "Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks", Gupta et al, CVPR 2018
Generative Adversarial Text to Image Synthesis / Please Star -->
Object detection system using deformable part models (DPMs) and latent SVM (voc-release5). You may want to use the latest tarball on my website. The github code may include code changes that have not been tested as thoroughly and will not necessarily reproduce the results on the website.
Solve captcha without manually labeling a training set
Turkish voice design with VoxCPM2 on a 4 GB GPU: describe a voice, pick a variant, read text in 30 languages. Patched audio.cpp, local UI in 30 languages, 14 ready-made voices.
Deep Reinforcement Learning for de-novo Drug Design
The Simplest DCGAN Implementation
ROS package for the Perception (Sensor Processing, Detection, Tracking and Evaluation) of the KITTI Vision Benchmark Suite
The implementation code for "DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction"
A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).
Unsupervised Image to Image Translation with Generative Adversarial Networks
An extensible .NET genetic algorithm library for optimization and artificial intelligence - Evolutionary computation and complex problem solving made simple
Sarus implementation of classical ML models. The models are implemented using the Keras API of tensorflow 2. Vizualization are implemented and can be seen in tensorboard.