avinassh / pytorch-flask-api
β178Updated 2 years ago
Alternatives and similar repositories for pytorch-flask-api:
Users that are interested in pytorch-flask-api are comparing it to the libraries listed below
- β164Updated 2 years ago
- π+π₯This project is aimed to help Pytorch machine learning developers to quickly build a Flask web app in a Docker container ready to beβ¦β65Updated 2 years ago
- carrier of tricks for image classification tutorials using pytorch.β104Updated last year
- β143Updated 7 years ago
- β46Updated 3 years ago
- Keras Object Detection API with YOLK project π³β112Updated 2 years ago
- Bag of Tricks for Image Classification with Convolutional Neural Networks in Kerasβ63Updated 6 years ago
- EfficientNet-GradCam Visualizationβ80Updated 5 years ago
- A Pytorch Computer Vision template to quick start your next project! ππβ352Updated 9 months ago
- Visualization of GAN training processβ92Updated 4 years ago
- Code and pre-trained models for Instance Segmentation track in Open Images Datasetβ56Updated 5 years ago
- Keras Implementation of EfficientNetsβ186Updated 5 years ago
- How to train an object detection model with mmdetectionβ73Updated 2 years ago
- A simpler version of the self-attention layer from SAGAN, and some image classification results.β212Updated 5 years ago
- Making a PyTorch model easier than ever!β79Updated 3 years ago
- Simple, fast web deployment for your PyTorch modelsβ69Updated 6 years ago
- Official Pytorch implementation of ReXNet (Rank eXpansion Network) with pretrained modelsβ451Updated 3 years ago
- using flask to run pytorch modelβ47Updated 7 years ago
- Deep Learning project template for PyTorch (multi-gpu training is supported)β137Updated last year
- Pytorch implementation of RetinaNet using EfficientNets as feature extractor or backbone network.β41Updated 3 years ago
- Codes and Sample Application for converting and deploying pytorch models in android applicationsβ70Updated 4 years ago
- An implementation of GhostNet for Tensorflow 2.0+ (From the paper "GhostNet: More Features from Cheap Operations")