Please also have a look at our multi-omics multi-task DL freamwork
The FIRST GANs-based omics-to-omics translation framework
Xiaoyu Zhang ([email protected])
Data Science Institute, Imperial College London
Please also have a look at our multi-omics multi-task DL freamwork
This source code is licensed under the MIT license.
Gender Bangs Body Side Pose (Yaw) Lighting Smile Face Shape Lipstick Color Painting Style Pose (Yaw) Pose (Pitch) Zoom & Rotate Flush & Eye Color Mout
This is the codebase for Diffusion Models Beat GANS on Image Synthesis.
GAN Generative Adverserial Networks are an approach to generative data modelling using Deep learning methods. I have currently implemented : DCGAN on
InterFaceGAN - Interpreting the Latent Space of GANs for Semantic Face Editing Figure: High-quality facial attributes editing results with InterFaceGA
Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs In this work, we propose a framework HijackGAN, which enables non-linear latent space travers
PyTorch implementation of Progressive Growing of GANs for Improved Quality, Stability, and Variation. Warning: the master branch might collapse. To ob
PyTorch implementation of VAGAN: Visual Feature Attribution Using Wasserstein GANs This code aims to reproduce results obtained in the paper "Visual F
pix2pixHD Project | Youtube | Paper Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic image-to-image translatio
Progressive Growing of GANs inference in PyTorch with CelebA training snapshot Description This is an inference sample written in PyTorch of the origi
[CVPR2022] Thin-Plate Spline Motion Model for Image Animation Source code of the CVPR'2022 paper "Thin-Plate Spline Motion Model for Image Animation"
Convolutional Two-Stream Network Fusion for Video Action Recognition
Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representations Zhenyu Jiang, Yifeng Zhu, Maxwell Svetlik, Kuan Fang, Yu
PGT Code for paper PGT: A Progressive Method for Training Models on Long Videos. Install Run pip install -r requirements.txt. Run python setup.py buil
SodukuSolver This is a really useful sudoku solver with a Qt gui. USAGE Enter the numbers in and click "RUN"! If you don't want to wait, simply press
Lucas coded by linux shell ๋ชฉ์ฐจ Mac๋ฒ์ CookieCutter (autoenv) 1.How to Install autoenv 2.ํด๋ ์ง์ ์, activate ๊ตฌํํ๊ธฐ 3.ํด๋ ํ์ถ ์, deactivate ๊ตฌํํ๊ธฐ 4.Alias ์ค์ ํ๊ธฐ 5
tmm_fast tmm_fast or transfer-matrix-method_fast is a lightweight package to speed up optical planar multilayer thin-film device computation. It is es
EAML Code release for "Learning to Adapt to Evolving Domains" (NeurIPS 2020) Prerequisites PyTorch = 0.4.0 (with suitable CUDA and CuDNN version) tor
MD-PGT Repository for implementing and reproducing the results for the paper MDPGT: Momentum-based Decentralized Policy Gradient Tracking. Available E
Youtube Comments Categorization This repo is for categorizing comments on a youtube video into different categories. negative (grievances, complaints,
DeepStock Technical experimentations to beat the stock market using deep learning. Experimentations Deep Learning Stock Prediction with Daily News Hea
Mish: Self Regularized Non-Monotonic Activation Function BMVC 2020 (Official Paper) Notes: (Click to expand) A considerably faster version based on CU
Marvis v1.0 Marvis is Mastouri's Jarvis version of the AI-powered Python personal assistant. About M.A.R.V.I.S. J.A.R.V.I.S. is a fictional character
IMLE-Net: An Interpretable Multi-level Multi-channel Model for ECG Classification The repostiory consists of the code, results and data set links for
ForecastingNonverbalSignals This is the implementation for the paper Forecasting Nonverbal Social Signals during Dyadic Interactions with Generative A
A tutorial showing how to train, convert, and run TensorFlow Lite object detection models on Android devices, the Raspberry Pi, and more!
The Open-Source MLOps Orchestration Framework MLRun is an open-source MLOps framework that offers an integrative approach to managing your machine-lea
MT-VAE for Multimodal Human Motion Synthesis This is the code for ECCV 2018 paper MT-VAE: Learning Motion Transformations to Generate Multimodal Human
Accelerated deep learning R&D PyTorch framework for Deep Learning research and development. It focuses on reproducibility, rapid experimentation, and
YOLOv5DS Multi-task yolov5 with detection and segmentation based on yolov5(branch v6.0) decoupled head anchor free segmentation head READMEไธญๆ Ablation
321 Dec 1, 2022
3k Dec 26, 2022
5 Sep 7, 2021
![[CVPR 2020] Interpreting the Latent Space of GANs for Semantic Face Editing](https://github.com/genforce/interfacegan/raw/master/docs/assets/teaser.jpg)
1.3k Dec 29, 2022
46 Sep 5, 2022
559 Dec 14, 2022
93 Aug 17, 2022
6k Dec 27, 2022
320 Nov 21, 2022
1.4k Dec 30, 2022
676 Dec 31, 2022
63 Jan 03, 2023
27 Mar 30, 2022
11 Jun 02, 2022
3 Feb 21, 2022
26 Dec 11, 2022
23 Dec 07, 2022
2 Dec 30, 2021
5 Nov 26, 2022
449 Dec 29, 2022
1.2k Dec 29, 2022
1 Dec 29, 2021
12 Dec 26, 2022
1 Feb 10, 2022
1.3k Jan 02, 2023
873 Jan 04, 2023
36 Oct 02, 2022
3.1k Jan 06, 2023
150 Dec 30, 2022