Aleadinglight / Pytorch-VGG-19
Using Pytorch to implement VGG-19
☆18Updated 5 years ago
Related projects: ⓘ
- Image Augmentation technique using OpenCV and Python☆55Updated 5 years ago
- pytorch, pix2pix, CycleGAN, DiscoGAN, BicycleGAN, UNIT, MUNIT, pix2pixHD, vid2vid☆46Updated 5 years ago
- Classifying cat and dog images using Kaggle dataset☆81Updated last month
- Image Colorization using GANs, written in Pytorch☆32Updated 5 years ago
- A COCO image and masks generator tutorial for semantic segmentation purposes.☆76Updated 4 years ago
- Object Detection for wheat heads in the given images☆23Updated 4 years ago
- This is my sample kernel for the kaggle competition iMet Collection 2019 - FGVC6 (Recognize artwork attributes from The Metropolitan Muse…☆24Updated 2 years ago
- PyTorch implementation of Image-to-Image Translation with Conditional Adversarial Nets (pix2pix)☆52Updated 7 years ago
- Implementation of the DeepLabV3+ model in PyTorch for semantic segmentation, trained on DeepFashion2 dataset☆45Updated last year
- Progessive Growing of GANs in Pytorch 1.1☆19Updated 5 years ago
- Repository containing code for the blog post titled "How To Easily Classify Food Using Deep Learning and Tensorflow"☆62Updated 5 years ago
- Google Summer of Code 2020 with TensorFlow: Final Work Product☆15Updated last year
- Convert VGG imagenet pre-trained weights for grayscale images☆24Updated 6 years ago
- PyTorch implementation of SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation. Paper available in: https://a…☆11Updated 6 years ago
- Deep Image Inpainting using UNET like Vanilla Autoencoder and Partial Convolution based Autoencoder.☆55Updated 4 years ago
- This is a pix2pixHD Tensorflow implementation which is used by many projects in recent days☆19Updated 4 years ago
- A Tensorflow implementation of Deep Lab V3 Plus from scratch.☆22Updated 4 years ago
- Solution of Intel scene classification problem | 95.4 % Accuracy | 5th rank☆21Updated 5 years ago
- Tensorflow 2.3.0 implementation of DeepLabV3-Plus☆98Updated last year
- A series of notebooks to dive deep into popular datasets for object detection and learn how to train Detectron2 on a custom dataset☆29Updated 4 years ago
- A dataset that distinguishes humans from the background.☆59Updated 5 years ago
- One Shot Learning Implementation☆38Updated 4 years ago
- Segmenting people on photos using IOS devices [Pytorch; Unet]☆60Updated 4 years ago
- PyTorch implementation of CycleGAN☆77Updated 7 years ago
- Image similarity using Triplet Loss☆102Updated last year
- ☆31Updated 6 years ago
- Combining Google Open Images with COCO-dataset weights and training a Mask R-CNN model to accurately create a instance mask for pumpkins …☆14Updated 3 years ago
- A clean and lucid implementation of cycleGAN using PyTorch☆117Updated 5 years ago
- This is a simple image clustering algorithm which uses KMeans for clustering and performs 3 types of vectorization using vgg16, vgg19 and…☆45Updated 4 years ago
- Pytorch implementation of pix2pix for various datasets.☆120Updated 3 years ago