Convolutional Neural Networks

TResNet: High Performance GPU-Dedicated ArchitecturePython

A PyTorch implementation of TResNet, a high-performance convolutional neural network architecture optimized for GPU training and inference.

BasenjiPython

A deep learning toolkit for predicting regulatory activity, 3D genome folding, and mRNA half-life from DNA/RNA sequences.

Marvin - A Minimalist GPU-only N-Dimensional ConvNets FrameworkC++

A minimalist GPU-only framework for N-dimensional convolutional neural networks focused on speed and hackability.

NeuritePython

A neural networks toolbox for medical image analysis, providing specialized layers, models, and utilities for TensorFlow/Keras.

SPP-NetMATLAB

A re-implementation of the SPP-net object detection algorithm using spatial pyramid pooling in deep convolutional networks for visual recognition.

Weakly_detectorJupyter Notebook

TensorFlow implementation of weakly-supervised object localization using only image-level labels, without bounding box annotations.

GoogleNet Convolutional Neural Network Groups Movie Scenes By SettingPython

A command-line utility that uses convolutional neural networks to search and filter videos based on objects and places that appear in them.

DeepDTAPython

Deep learning model using convolutional neural networks to predict drug-target binding affinity from protein sequences and compound SMILES.

BorzoiPython

A deep convolutional neural network that predicts RNA-seq coverage at 32bp resolution from DNA sequence.

captcha_crackerPython

A convolutional neural network model built with Keras for recognizing captcha images generated by the Laravel Captcha library.

shainetCrystal

A pure Crystal machine learning library for building and training neural networks with CPU/GPU support and PyTorch compatibility.

SaliencyPython

Shallow and deep convolutional neural networks for predicting visual saliency in images using a data-driven approach.

jax-modelsPython

Unofficial JAX/Flax implementations of deep learning research papers for vision transformers and other architectures.

Image Caption GeneratorJupyter Notebook

A TensorFlow-based neural network model for generating descriptive captions from images using Flickr30K and MSCOCO datasets.

AxonDeepSegPython

A deep learning tool for automatic axon and myelin segmentation from microscopy images using convolutional neural networks.

SinabsPython

A PyTorch-based deep learning library for building and training spiking convolutional neural networks with hardware deployment support.

DL4SSwift

A Swift library for accelerated tensor operations and dynamic neural networks with automatic differentiation, supporting all Apple platforms and Linux.

Hyperopt for a Keras CNN on CIFAR-100Python

A tutorial and demo using Hyperopt to auto-optimize CNN architecture and hyperparameters for the CIFAR-100 dataset with Keras/TensorFlow.

CAPTCHAPython

A TensorFlow-based convolutional neural network for recognizing four-digit CAPTCHA images.

Kaggle Dogs vs. CatsPython

Code for the Kaggle Dogs vs. Cats image classification competition using deep learning.

skynetC++

A lightweight deep learning library written in C++ with C, C#, and Python interfaces, supporting CPU and GPU computation.