deep-learning-v2-pytorch VS gan-vae-pretrained-pytorch

Compare deep-learning-v2-pytorch vs gan-vae-pretrained-pytorch and see what are their differences.

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101 (by udacity)
Deep Learning neural-network convolutional-networks Pytorch recurrent-networks style-transfer sentiment-analysis
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gan-vae-pretrained-pytorch

Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch. (by csinva)
Gan Pytorch pretrained-models Mnist cifar dcgan pytorch-implementation Python Deep Learning neural-network convolutional-neural-networks Cnn Gans generative-adversarial-network generative-adversarial-networks pretrained Machine Learning ML AI Statistics
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deep-learning-v2-pytorch gan-vae-pretrained-pytorch
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10 months ago over 2 years ago
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deep-learning-v2-pytorch

Posts with mentions or reviews of deep-learning-v2-pytorch. We have used some of these posts to build our list of alternatives and similar projects.

gan-vae-pretrained-pytorch

Posts with mentions or reviews of gan-vae-pretrained-pytorch. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing deep-learning-v2-pytorch and gan-vae-pretrained-pytorch you can also consider the following projects:

cs231n - Note and Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

AvatarGAN - Generate Cartoon Images using Generative Adversarial Network

stable-diffusion-reference-only - img2img version of stable diffusion. Anime Character Remix. Line Art Automatic Coloring. Style Transfer.

pytorch-GAT - My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

torchdyn - A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods

AnimeGAN - Generating Anime Images by Implementing Deep Convolutional Generative Adversarial Networks paper

monodepth2 - [ICCV 2019] Monocular depth estimation from a single image

AI-For-Beginners - 12 Weeks, 24 Lessons, AI for All!

hyperlearn - 2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning - My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset.

glasses - High-quality Neural Networks for Computer Vision 😎

dnn_from_scratch - A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).

deep-learning-v2-pytorch vs cs231n gan-vae-pretrained-pytorch vs AvatarGAN deep-learning-v2-pytorch vs stable-diffusion-reference-only gan-vae-pretrained-pytorch vs pytorch-GAT deep-learning-v2-pytorch vs torchdyn gan-vae-pretrained-pytorch vs AnimeGAN deep-learning-v2-pytorch vs monodepth2 gan-vae-pretrained-pytorch vs AI-For-Beginners deep-learning-v2-pytorch vs hyperlearn gan-vae-pretrained-pytorch vs Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning deep-learning-v2-pytorch vs glasses gan-vae-pretrained-pytorch vs dnn_from_scratch