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vivounicorn's Projects

skyar icon skyar

Official Pytorch implementation of the preprint paper "Castle in the Sky: Dynamic Sky Replacement and Harmonization in Videos", in arXiv:2010.11800.

streamlit icon streamlit

Streamlit — The fastest way to build data apps in Python

styleclip icon styleclip

Official Implementation for "StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery" (ICCV 2021 Oral)

stylegan2 icon stylegan2

StyleGAN2 - Official TensorFlow Implementation

stylegan2-pytorch icon stylegan2-pytorch

Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement

stylegan3 icon stylegan3

Official PyTorch implementation of StyleGAN3

tensorflow icon tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-litterbox icon tensorflow-litterbox

Tensorflow experimentation sandbox. VGG, ResNet, Inception V3, Inception V4, Inception-Resnet-V2 models.

tensorrtx icon tensorrtx

Implementation of popular deep learning networks with TensorRT network definition API

text-to-image icon text-to-image

Tensorflow implementation of text to image synthesis using thought vectors

tianchi_nl2sql icon tianchi_nl2sql

追一科技首届中文NL2SQL挑战赛决赛第3名方案+代码

tnn icon tnn

TNN: developed by Tencent Youtu Lab and Guangying Lab, a lightweight and high-performance deep learning framework for mobile inference. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework. TNN:由腾讯优图实验室和光影实验室协同打造,移动端高性能、轻量级推理框架,同时拥有跨平台、高性能、模型压缩、代码裁剪等众多突出优势。TNN框架在原有Rapidnet、ncnn框架的基础上进一步加强了移动端设备的支持以及性能优化,同时也借鉴了业界主流开源框架高性能和良好拓展性的优点。目前TNN已经在手Q、微视、P图等应用中落地,欢迎大家参与协同共建,促进TNN推理框架进一步完善。

uer-py icon uer-py

Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo

vingenerator icon vingenerator

Python library to generate random VINs to use for testing

vit icon vit

vision transformer example.

vit-pytorch icon vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

vit-pytorch-1 icon vit-pytorch-1

Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)

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