Author Archives: Aditya Singh - Page 5
Pixel2Style2Pixel (pSp) is an image translation framework that builds upon the representative power of a pre-trained StyleGAN generator and the W+ latent space.
The post Hands-On Guide to Pixel2Style2Pixel: Image-to-Image Translation appeared first on Analytics India Magazine.
Torch-Points3D is a flexible and powerful framework that aims to make deep learning on 3D data both more accessible and reproducible.
The post Hands-On Guide to Torch-Points3D: A Modular Deep Learning Framework for 3D Data appeared first on Analytics India Magazine.
MixNMatch is a conditional generative model that disentangles and encodes background, object pose, shape, and texture from real images with minimal supervision.
The post How to generate Conditional Image via MixNMatch appeared first on Analytics India Magazine.
MixNMatch is a conditional generative model that disentangles and encodes background, object pose, shape, and texture from real images with minimal supervision.
The post How to generate Conditional Image via MixNMatch appeared first on Analytics India Magazine.
TensorFlow, Pytorch, Caffe, Keras, Theano, and many more. There’s already an abundance of deep learning frameworks, so why should you care about Trax? Well, most deep learning libraries have two major drawbacks: They require you to write long syntaxes, even for simple tasks. Their language/API can be quite complex and hard to understand, especially for…
The post What is Trax and How is it a Better Framework for Advanced Deep Learning? appeared first on Analytics India Magazine.
ClearML is an open-source, zero-integration machine learning/deep learning experiment manager and ML-Ops solution.
The post Guide to ClearML: Zero Integration MLOps Solution appeared first on Analytics India Magazine.
RepVGG is a simple ConvNet architecture that combines multibranch topologies’ increased performance and the simplicity of VGG topology.
The post RepVGG: Can You Make Simple Architectures Great Again? appeared first on Analytics India Magazine.
Open Neural Network Exchange (ONNX) is a powerful and open format built to represent machine learning models. It overcomes the problem of framework lock-in by providing an universal intermediary model format.
The post Converting a model from Pytorch to Tensorflow: Guide to ONNX appeared first on Analytics India Magazine.
Boruta is a Python package designed to take the “all-relevant” approach to feature selection.
The post Hands-on Guide to Automated Feature Selection using Boruta appeared first on Analytics India Magazine.
Face-to-Face translation is plagued by the novel problem of out-of-sync lips, LipGAN and Wave2Lip aim to solve this lip sync issue.
The post Guide to Real-Time Face-to-Face Translation using LipSync GANs appeared first on Analytics India Magazine.