Popular GitHub Repositories for Convnets

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

A Real-time Mario Kart 64 AI using ConvNets.

Revisions and implementations of modern Convolutional Neural Networks architectures in TensorFlow and Keras

[ICLR 2023] "More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity"; [ICML 2023] "Are Large Kernels Better Teachers than Transformers for ConvNets?"

Faster R-CNN / R-FCN :bulb: C++ version based on Caffe

sensAI: ConvNets Decomposition via Class Parallelism for Fast Inference on Live Data

An implementation of a variation of Sketch-A-Net using XNOR ConvNets using TensorFlow

Implementation of the paper : Deformable DETR: Deformable Transformers for End-to-End Object Detection (ICLR 2021)

[FPGA'21] CoDeNet is an efficient object detection model on PyTorch, with SOTA performance on VOC and COCO based on CenterNet and Co-Designed deformable convolution.

A collection of some easy Neural Network based Python projects

In this fourth course, you will learn how to build time series models in TensorFlow. You’ll first implement best practices to prepare time series data. You’ll also explore how RNNs and 1D ConvNets can be used for prediction. Finally, you’ll apply everything you’ve learned throughout the Specialization to build a sunspot prediction model using real-world data

Implementation of the NFNets from the paper: "ConvNets Match Vision Transformers at Scale" by Google Research

PyTorch 1.x version's Tutorials using Google Colab: Overview, Regression, ConvNets, RNNs, GANs tutorials, etc.

Federated Adversarial Attacks in ConvNets

These notes and resources are compiled from the crash course Prompt Engineering for Vision Models offered by DeepLearning.AI.