Deepfakes Software For All
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Updated
Jul 13, 2024 - Python
Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural networks are a type of deep learning, which is a type of machine learning. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and natural language processing. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and natural language processing.
Deepfakes Software For All
DeepFaceLab is the leading software for creating deepfakes.
Open standard for machine learning interoperability
A paper list of object detection using deep learning.
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
pix2code: Generating Code from a Graphical User Interface Screenshot
Synthesizing and manipulating 2048x1024 images with conditional GANs
An open source library for deep learning end-to-end dialog systems and chatbots.
Torchreid: Deep learning person re-identification in PyTorch.
NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
Low-code development tool based on PaddlePaddle(飞桨低代码开发工具)
Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait... there's more! (An implementation of Semantic Style Transfer.)
DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral
🚀 The TensorFlow Object Counting API is an open source framework built on top of TensorFlow and Keras that makes it easy to develop object counting systems!
Deep Learning for Time Series Classification
LPIPS metric. pip install lpips
PyTorch implementation of Super SloMo by Jiang et al.
Learning Chinese Character style with conditional GAN
PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)