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Name: J
Type: User
Bio: Exploring the intersection of AI, deep learning, and art. Passionate about pushing the boundaries of multi-media production and beyond. #AIArt
Name: J
Type: User
Bio: Exploring the intersection of AI, deep learning, and art. Passionate about pushing the boundaries of multi-media production and beyond. #AIArt
pix2pix demo that learns from facial landmarks and translates this into a face
A PyTorch implementation of the 'FaceNet' paper for training a facial recognition model with Triplet Loss using the glint360k dataset. A pre-trained model using Triplet Loss is available for download.
Faces2Anime: Cartoon Style Transfer in Faces using Generative Adversarial Networks. Masters Thesis 2021 @ NTUST.
FaceScape: a Large-scale High Quality 3D Face Dataset and Detailed Riggable 3D Face Prediction (CVPR2020)
Unofficial PyTorch Implementation for FaceShifter (https://arxiv.org/abs/1912.13457)
Project of Skoltech course "Introduction to Computer Vision"
Photo-Realistic Facial Details Synthesis from Single Image (ICCV2019 Oral)
Scaling and Benchmarking Self-Supervised Visual Representation Learning
Faker is a Python package that generates fake data for you.
Tacotron2 Training Notebook for FakeYou.com
Python version of Factored Spectrally Transformed Linear Mixed Models
fast-stable-diffusion, +25-50% speed increase + memory efficient + DreamBooth
🔊 Audio and fastai v2
Draft of the fastai book
PyTorch Implementation of FastDiff (IJCAI'22)
Official implementation of the paper "Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis" in ICLR 2021
PyTorch Implementation of FastSpeech 2 : Fast and High-Quality End-to-End Text to Speech
Fast, parallel implementations of tSNE
Personal repository for the homeworks of course "Fundamentals of Digital Image and Video Processing" from Coursera
A state-of-the-art Video Frame Interpolation Method using feature flows blending. (CVPR 2020)
Fedlearn支持前沿算法研发的Python工具库 | Fedlearn algorithm toolkit for researchers
A python package for benchmarking interpretability techniques.
Pytorch implementation for few-shot photorealistic video-to-video translation.
Generative adversarial networks integrating modules from FUNIT and SPADE for face-swapping.
Official implementation for the paper Fine-grained style control in transformer-based text-to-speech synthesis.
Real-time voice-changer for voice-chat, etc. Will support many different voice-filters and features in the future. 🎵
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.