ATHENA
ATHENA: A Fortran package for neural networks - Published in JOSS (2024)
torchcam
Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)
flitc-application
A data-driven deep learning based fault diagnosis application for radial, active distribution grids
https://github.com/timeseriesai/tsai
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
scibasic
sciBASIC# is a kind of dialect language which is derive from the native VB.NET language, and written for the data scientist.
papers
Contains the code for the paper "Multi-Horizon Short-Term Load Forecasting Using Hybrid of LSTM and Modified Split Convolution"
https://github.com/cog-imperial/omlt
Represent trained machine learning models as Pyomo optimization formulations
vehicle_collision_prediction_using_cnn-lstms
Predict Vehicle collision moments before it happens in Carla!. CNN and LSTM hybrid architecture is used to understand a series of images.
yuzumarker.fontdetection
✨ 首个CJK(中日韩)字体识别以及样式提取模型 YuzuMarker的字体识别模型与实现 / First-ever CJK (Chinese Japanese Korean) Font Recognition and Style Extractor, side project of YuzuMarker
gcvit
Tensorflow 2.0 Implementation of GCViT: Global Context Vision Transformer
sinfnet
A collection of datasets and neural networks for microorganism image classification
https://github.com/ari-dasci/s-tsfe-dl
Time Series Feature Extraction using Deep Learning
detect-waste
AI to Combat Environmental Pollution - detecting plastic waste in the environment to combat environmental pollution and promote circular economy (Deep Learning, PyTorch)
https://github.com/csinva/gan-vae-pretrained-pytorch
Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.
https://github.com/rindow/rindow-neuralnetworks
Neural networks library for machine learning on PHP
https://github.com/alok-ai-lab/deepinsight3d_pkg
DeepInsight3D package to deal with multi-omics or multi-layered data
https://github.com/ammarlodhi255/image-captioning-system-to-assist-the-blind
An image captioning system that is able to predict and speak out a caption of an image taken by visually impaired.
https://github.com/bethgelab/testing_visualizations
Code for the paper " Exemplary Natural Images Explain CNN Activations Better than Feature Visualizations"
cvpr22w_robustnessthroughthelens
Official repository of our submission "Adversarial Robustness through the Lens of Convolutional Filters" for the CVPR2022 Workshop "The Art of Robustness: Devil and Angel in Adversarial Machine Learning Workshop"
multimodal-approach-for-ad
Code for "Automated Detection of Alzheimer’s Disease: A Multi-modal Approach With 3D MRI and Amyloid PET" paper
pytorch-project-template
A Simple Template For A PyTorch Classification Project 😄
https://github.com/924973292/fusionreid
【IEEE TITS2025】Unity is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification
practical-ml-with-pytorch
Training material on writing machine learning code with PyTorch by ICCS
iddroadsegmentation
Distinguishing Urban Roads from Non-Road Regions in the Indian Driving Dataset(IDD) Using Binary Deep Learning Segmentation 🛣️
cv-3315-is-all-you-need
CV′3315 Is All You Need – Semantic Segmentation Course Competition @ The University of Adelaide
deepsleep2
😴 DeepSleep2 is a compact U-Net-inspired convolutional neural network with 740,551 parameters, designed to predict non-apnea sleep arousals from full-length multi-channel polysomnographic recordings at 5-millisecond resolution. Achieves similar performance to DeepSleep with lower computational cost.
pano3d
Code and models for "Pano3D: A Holistic Benchmark and a Solid Baseline for 360 Depth Estimation", OmniCV Workshop @ CVPR21.
https://github.com/attpc/event-classification
Machine learning methods for classifying events from the AT-TPC.
https://github.com/atharvapathak/twitter_sentiment_analysis_project
Twitter sentiment analysis is the process of analyzing tweets posted on the Twitter platform to determine the overall sentiment expressed within them. It involves using natural language processing (NLP) and machine learning techniques to classify tweets.
https://github.com/brucewlee/music-genre-classification
Straightforward starter code for music genre classification using: LSTM-RNN, CNN, and just plain Neural Networks.
https://github.com/agamiko/neural-based-data-augmentation
Improving generalization via style transfer-based data augmentation: Novel regularization method
pytorch-deformable-convolution-v2
Don't feel pain to use Deformable Convolution
cnn-soiltextureclassification
1-dimensional convolutional neural networks (CNN) for the classification of soil texture based on hyperspectral data
https://github.com/berenslab/interpretable-deep-survival-analysis
An interpretable end-to-end CNN for disease progression modeling that predicts late AMD onset (MICCAI 2024)
basketball_detector
:basketball: BasketballDetector implementation using a segmentation approach
covid-19-detection
Covid-19 Detection using Computer Vision, Machine Learning and Deep Learning
https://github.com/danielathome19/sung-emotionn-detector
A convolutional neural network trained to classify emotions in singing voices.
imu2text
IMU2Text: A hybrid CNN+GNN pipeline for handwriting recognition and trajectory prediction using IMU data with state-of-the-art accuracy (99.74%).
find
FIND: Framework for evaluating Image enhancements on Neural networks inferencing in aDverse environments
paperclipinspection
Analyzing Paper Clips Using Deep Learning and Computer Vision Techniques 📎
https://github.com/christophreich1996/semantic_pyramid_for_image_generation
PyTorch reimplementation of the paper: "Semantic Pyramid for Image Generation" [CVPR 2020].
https://github.com/kundajelab/fastism
In-silico Saturation Mutagenesis implementation with 10x or more speedup for certain architectures.
porkcnn
A Small Project for Pork Barrel Legislation Classification Using Convolutional Neural Networks (Lour's Pork Barrel Classifier (羅老師肉桶法案分類器)🍖🐖 🥩🐷
multiscale-adversarial-attention-gates
Code for the paper: Valvano G. et al. (2021), Learning to Segment from Scribbles using Multi-scale Adversarial Attention Gates
in-vehicle-driver-state-analysis
In-Vehicle Driver State Analysis Using Image Segmentation
sign-language-recognition
Implementation of a Isolated Sign Language Recognition using CNN