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ad-nerf

This repository contains a PyTorch implementation of "AD-NeRF: Audio Driven Neural Radiance Fields for Talking Head Synthesis".

annotated_deep_learning_paper_implementations

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

ant-learn-pandas

pandas学习课程代码仓库

attention_ocr.pytorch

This repository implements the the encoder and decoder model with attention model for OCR

bicyclegan

Toward Multimodal Image-to-Image Translation

biggan-tensorflow

BIgGAN implementation by TensorFlow 2.0 RC-version

df-gan

Deep Fusion Generative Adversarial Networks for Text-to-Image Synthesis

divco

Official Pytorch implementation of "DivCo: Diverse Conditional Image Synthesis via Contrastive Generative Adversarial Network" (CVPR'21)

dm-gan

drit

Learning diverse image-to-image translation from unpaired data

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

ganseeing

Seeing what a GAN cannot generate. Visualizes and quantifies object classes within scenes that are outside the range of a GAN.

hello-github-actions

makeittalk

mmgeneration

MMGeneration is a powerful toolkit for generative models, based on PyTorch and MMCV.

msgan

MSGAN: Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis (CVPR2019)

open-sora

Open-Sora: Democratizing Efficient Video Production for All

perceptualsimilarity

LPIPS metric. pip install lpips

photo2cartoon

人像卡通化探索项目 (photo-to-cartoon translation project)

pytorch-cyclegan-and-pix2pix

Image-to-Image Translation in PyTorch

pytorch-studiogan

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

test

text2video

Text to Video Generation Problem

torch_videovision

Transforms for video datasets in pytorch