ujemd
Follow
Stars
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Models and examples built with TensorFlow
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
💫 Industrial-strength Natural Language Processing (NLP) in Python
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
Real-time face swap for PC streaming or video calls
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Magenta: Music and Art Generation with Machine Intelligence
A Deep Learning based project for colorizing and restoring old images (and video!)
State-of-the-Art Text Embeddings
Avatars for Zoom, Skype and other video-conferencing apps.
Bringing Old Photo Back to Life (CVPR 2020 oral)
Automatic headphone equalization from frequency responses
StyleGAN2 - Official TensorFlow Implementation
Download pictures (or videos) along with their captions and other metadata from Instagram.
High-Resolution 3D Human Digitization from A Single Image.
Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications
common data analysis and machine learning tasks using python
A concise but complete full-attention transformer with a set of promising experimental features from various papers
Google Drive Public File Downloader when Curl/Wget Fails
StyleGAN2-ADA - Official PyTorch implementation
Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.
Official tensorflow implementation for CVPR2020 paper “Learning to Cartoonize Using White-box Cartoon Representations”
Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
[EMNLP 2021] SimCSE: Simple Contrastive Learning of Sentence Embeddings https://arxiv.org/abs/2104.08821
StarGAN v2 - Official PyTorch Implementation (CVPR 2020)
Vector (and Scalar) Quantization, in Pytorch