Downy Thornapple (downysoftware)

downysoftware

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Company:Park-Choi Media Group

Location:Port City, CA

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Downy Thornapple's starred repositories

DFDNet

Blind Face Restoration via Deep Multi-scale Component Dictionaries (ECCV 2020)

Language:PythonStargazers:912Issues:0Issues:0

Google-Colab-Torrent-Downloader

It allows us to download torrent in Google Colab into our google drive

Stargazers:25Issues:0Issues:0

HeSer

Code for Few-Shot Head Swapping in the Wild (CVPR 2022 Oral)

Stargazers:255Issues:0Issues:0

panini

Panini-Net: GAN Prior based Degradation-Aware Feature Interpolation for Face Restoration, AAAI 2022 (PyTorch Code)

Language:PythonStargazers:110Issues:0Issues:0

instant-ngp-Windows

Instant neural graphics primitives: lightning fast NeRF and more

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instant-ngp

Instant neural graphics primitives: lightning fast NeRF and more

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aiaiart

Course content and resources for the AIAIART course.

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cloob-latent-diffusion

CLOOB Conditioned Latent Diffusion training and inference code

Language:PythonLicense:MITStargazers:112Issues:0Issues:0

glide-text2im

GLIDE: a diffusion-based text-conditional image synthesis model

Language:PythonLicense:MITStargazers:3515Issues:0Issues:0

CLIP-Image-Classification

Image Classification Script with OpenAI's CLIP. Classifies an Image into Emojis, Imagenet Classes, Pokemon, or any provided class names w/o any training needed.

License:MITStargazers:2Issues:0Issues:0

lyrebird-wav2clip

Official implementation of the paper WAV2CLIP: LEARNING ROBUST AUDIO REPRESENTATIONS FROM CLIP

Language:PythonLicense:MITStargazers:320Issues:0Issues:0

SpecVQGAN

Source code for "Taming Visually Guided Sound Generation" (Oral at the BMVC 2021)

Language:Jupyter NotebookLicense:MITStargazers:335Issues:0Issues:0

AudioCLIP

Source code for models described in the paper "AudioCLIP: Extending CLIP to Image, Text and Audio" (https://arxiv.org/abs/2106.13043)

Language:PythonLicense:MITStargazers:738Issues:0Issues:0

awesome-buttplug

A list of awesome projects that use the Buttplug Sex Toy Control Library

Stargazers:539Issues:0Issues:0

DST

Deformable Style Transfer (ECCV 2020)

Language:Jupyter NotebookStargazers:261Issues:0Issues:0

EasyOCR

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

Language:PythonLicense:Apache-2.0Stargazers:23189Issues:0Issues:0

TalkNET-colab

NVIDIA's TalkNET - Train on colab

Stargazers:37Issues:0Issues:0

ControllableTalkNet

This is a modified version of NVIDIA's TalkNet. It is a controllable network that can be used for both CPU and GPU inference.

Language:Jupyter NotebookLicense:CC0-1.0Stargazers:46Issues:0Issues:0

OSINT-Discord-resources

Some OSINT Discord resources

Stargazers:332Issues:0Issues:0

twint

An advanced Twitter scraping & OSINT tool written in Python that doesn't use Twitter's API, allowing you to scrape a user's followers, following, Tweets and more while evading most API limitations.

Language:PythonLicense:MITStargazers:15677Issues:0Issues:0

UGATIT

Official Tensorflow implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation (ICLR 2020)

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deepsvg

[NeurIPS 2020] Official code for the paper "DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation". Includes a PyTorch library for deep learning with SVG data.

Language:Jupyter NotebookLicense:MITStargazers:916Issues:0Issues:0

deep-painterly-harmonization

Code and data for paper "Deep Painterly Harmonization": https://arxiv.org/abs/1804.03189

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Time-Travel-Rephotography.github.io

We simulate traveling back in time with a modern camera to rephotograph famous historical subjects.

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Few-Shot-Patch-Based-Training

The official implementation of our SIGGRAPH 2020 paper Interactive Video Stylization Using Few-Shot Patch-Based Training

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frame-interpolation

FILM: Frame Interpolation for Large Motion, In ECCV 2022.

Language:PythonLicense:Apache-2.0Stargazers:2784Issues:0Issues:0

OpenAI-CLIP-Feature

An easy to use, user-friendly and efficient code for extracting OpenAI CLIP (Global/Grid) features from image and text respectively.

Language:PythonLicense:MITStargazers:101Issues:0Issues:0