Top 23 Python convolutional-neural-network Projects
A MNIST-like fashion product database. Benchmark :point_down:Project mention: How to produce data visualizations like this? | reddit.com/r/computervision | 2022-01-05
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.Project mention: [P] Tutorial on using image super-resolution without Photoshop | reddit.com/r/learnmachinelearning | 2021-12-11
Less time debugging, more time building. Scout APM allows you to find and fix performance issues with no hassle. Now with error monitoring and external services monitoring, Scout is a developer's best friend when it comes to application development.
PyTorch implementation of Super SloMo by Jiang et al.Project mention: Cop records huge crash with his bodycam. | reddit.com/r/WTF | 2021-01-27
No, this is clearly based on deep training based methods. Traditional algorithms wouldn't have fucked up the text that badly. The artefacts in the video practically scream "i ran this clip thru SuperSloMo".
Convolutional Neural Networks to predict the aesthetic and technical quality of images.Project mention: Extracting Images from Video | reddit.com/r/computervision | 2021-03-11
Can Neural Networks Crack Sudoku? (by Kyubyong)Project mention: Anon is hacker-pedophile | reddit.com/r/greentext | 2021-04-02
well, which one?
Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/Project mention: New Project In Computer Vision For Beginner | reddit.com/r/computervision | 2022-01-20
Repository for most of the code from my YouTube channelProject mention: PPO cannot play CartPole ? | reddit.com/r/reinforcementlearning | 2021-11-01
A very good performance reference code, which convers in 200 episodes.
OPS - Build and Run Open Source Unikernels. Quickly and easily build and deploy open source unikernels in tens of seconds. Deploy in any language to any cloud.
Implementation of "Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image"Project mention: How do I install deeplearning package from github and apply transfer learning on it? | reddit.com/r/deeplearning | 2021-07-17
You should try reading the source code of the bash script and the other source files to get a sense of what they do and how you can incorporate it into your project. Here's some tips to get started (assuming you're looking at this repo: https://github.com/DenisTome/Lifting-from-the-Deep-release)
Tensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"Project mention: [R] ResNet strikes back: An improved training procedure in timm. There has been significant progress on best practices for training neural nets since ResNet's introduction in 2015. With such advances, a vanilla ResNet-50 reaches 80.4% top-1 accuracy on ImageNet without extra data or distillation. | reddit.com/r/MachineLearning | 2021-10-04
As far as i know, the assemble-ResNet-50 (https://github.com/clovaai/assembled-cnn) gets 82.8% top-1, though they make some (minor) changes to ResNet-50 architecture.
Official repository of XVFI (ICCV 2021, Oral)Project mention: [D] Has anyone compared XVFI's interpolation quality with RIFE? | reddit.com/r/MachineLearning | 2021-10-10
GitHub - JihyongOh/XVFI: Official repository of XVFI (accepted in ICCV2021, Oral)
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow 2.0Project mention: [Video Tutorial] Run Mask R-CNN for Object Detection | reddit.com/r/deeplearning | 2021-05-14
traiNNer: Deep learning framework for image and video super-resolution, restoration and image-to-image translation, for training and testing.Project mention: Anime ESRGAN superresolution upscaler, trained by JoeyBallentine | reddit.com/r/AnimeResearch | 2021-05-28
Models like NMKD's mentioned 4x_NMKD-YandereNeoXL_200k were trained using this repo: https://github.com/victorca25/BasicSR , which is constantly being updated with new techniques and options.
This repository allows you to classify 40 different human actions. Pose detection, estimation and classification is also performed. Poses are classified into sitting, upright and lying down.Project mention: Exercise recognition using HRNet | reddit.com/r/computervision | 2021-03-19
Train another classification model for each exercise which will be feed with image with drawn keypoints. Something like this - https://github.com/dronefreak/human-action-classification
Open Source and Free License Plate Recognition SoftwareProject mention: Facebookgrupper kartlägger civila polisbilar – kan vara blåljussabotage - Nyheter (Ekot) | reddit.com/r/sweden | 2021-11-27
State of the Art Neural Networks for Deep Learning
An attempt at the implementation of GLOM, Geoffrey Hinton's paper for emergent part-whole hierarchies from dataProject mention: Implementing Geoffrey Hinton's latest paper | news.ycombinator.com | 2021-04-13
Kervolution Library in PyTorch (CVPR 2019 Oral)Project mention: Extending kerv2d to kerv3d in https://github.com/wang-chen/kervolution/blob/unfold/kervolution.py | reddit.com/r/pytorch | 2021-07-05
Dear friends, I am trying to create custom kerv3d layer from the existing custom kerv2d layer given in the repository https://github.com/wang-chen/kervolution/blob/unfold/kervolution.py. Can anyone please suggest me suitable modifications to kerv2d layer for getting kerv3d. I want to replace conv3d layer with kerv3d for experimentation. Thank you.
Create interactive dashboards for your Convolutional Neural Networks with a single line of code!
A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).Project mention: What is an efficient algorithm for creating a sliding window convolution? | reddit.com/r/learnmachinelearning | 2021-06-07
Detecting Faults and Measuring Severity in Welding using Radiographic ImagesProject mention: Detecting Welding Defects in Steel Plates using Computer Vision Algorithms | dev.to | 2021-09-11
The dataset contains two directories. The raw images are stored in images directory and the segmented images are stored in labels directory.
EasyTorch is a research-oriented pytorch prototyping framework with a straightforward learning curve. It is highly robust and contains almost everything needed to perform any state-of-the-art experiments.Project mention: PyTorch Tutor | reddit.com/r/pytorch | 2021-10-30
Official PyTorch implementaiton of the paper "3D Instance Segmentation Framework for Cerebral Microbleeds using 3D Multi-Resolution R-CNN."Project mention: 3D rcnn | reddit.com/r/computervision | 2021-09-07
Is this what you're looking for: https://github.com/arthur801031/3d-multi-resolution-rcnn
An implementation of Conformer: Convolution-augmented Transformer for Speech Recognition, a Transformer Variant in TensorFlow/KerasProject mention: [P] I implemented Conformer: Convolution-augmented Transformer | reddit.com/r/MachineLearning | 2022-01-04
Python convolutional-neural-networks related posts
4 projects | reddit.com/r/Kenya | 28 Dec 2021
PPO cannot play CartPole ?
1 project | reddit.com/r/reinforcementlearning | 1 Nov 2021
[D] Has anyone compared XVFI's interpolation quality with RIFE?
1 project | reddit.com/r/MachineLearning | 10 Oct 2021
[R] ResNet strikes back: An improved training procedure in timm. There has been significant progress on best practices for training neural nets since ResNet's introduction in 2015. With such advances, a vanilla ResNet-50 reaches 80.4% top-1 accuracy on ImageNet without extra data or distillation.
1 project | reddit.com/r/MachineLearning | 4 Oct 2021
Detecting Welding Defects in Steel Plates using Computer Vision Algorithms
1 project | dev.to | 11 Sep 2021
Extending kerv2d to kerv3d in https://github.com/wang-chen/kervolution/blob/unfold/kervolution.py
1 project | reddit.com/r/pytorch | 5 Jul 2021
What is an efficient algorithm for creating a sliding window convolution?
1 project | reddit.com/r/learnmachinelearning | 7 Jun 2021
What are some of the best open-source convolutional-neural-network projects in Python? This list will help you:
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