Scientific Software
Updated 10 months ago

tqdm — Peer-reviewed • Rank 27.2 • Science 95%

tqdm: A Fast, Extensible Progress Meter for Python and CLI - Published in JOSS (2019)

Artificial Intelligence and Machine Learning Engineering (40%) Earth and Environmental Sciences (40%)
Scientific Software · Peer-reviewed
Scientific Software
Updated 10 months ago

Foolbox Native — Peer-reviewed • Rank 20.0 • Science 95%

Foolbox Native: Fast adversarial attacks to benchmark the robustness of machine learning models in PyTorch, TensorFlow, and JAX - Published in JOSS (2020)

Mathematics
Scientific Software · Peer-reviewed
Scientific Software
Updated 10 months ago

Larq — Peer-reviewed • Rank 16.7 • Science 95%

Larq: An Open-Source Library for Training Binarized Neural Networks - Published in JOSS (2020)

Scientific Software
Updated 10 months ago

UnlockNN — Peer-reviewed • Rank 7.3 • Science 93%

UnlockNN: Uncertainty quantification for neural network models of chemical systems - Published in JOSS (2022)

Artificial Intelligence and Machine Learning (32%)
Scientific Software · Peer-reviewed
Updated 10 months ago

tf-explain • Rank 18.9 • Science 77%

Interpretability Methods for tf.keras models with Tensorflow 2.x

Updated 10 months ago

onnx2tf • Rank 22.1 • Science 67%

Self-Created Tools to convert ONNX files (NCHW) to TensorFlow/TFLite/Keras format (NHWC). The purpose of this tool is to solve the massive Transpose extrapolation problem in onnx-tensorflow (onnx-tf). I don't need a Star, but give me a pull request.

Updated 10 months ago

ncnn • Rank 27.7 • Science 54%

ncnn is a high-performance neural network inference framework optimized for the mobile platform

Updated 10 months ago

xbatcher • Rank 18.5 • Science 59%

Batch generation from xarray datasets

Updated 10 months ago

zea • Rank 12.3 • Science 64%

zea: A Toolbox for Cognitive Ultrasound Imaging

Updated 10 months ago

einops • Rank 28.9 • Science 44%

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

Updated 10 months ago

deep-koalarization • Rank 8.1 • Science 64%

Keras/Tensorflow implementation of our paper Grayscale Image Colorization using deep CNN and Inception-ResNet-v2 (https://arxiv.org/abs/1712.03400)

Updated 10 months ago

uncertainty-wizard • Rank 4.6 • Science 67%

Uncertainty-Wizard is a plugin on top of tensorflow.keras, allowing to easily and efficiently create uncertainty-aware deep neural networks. Also useful if you want to train multiple small models in parallel.

Updated 10 months ago

opennsfw2 • Rank 17.2 • Science 44%

Keras implementation of the Yahoo Open-NSFW model

Updated 10 months ago

hybrid-vocal-classifier • Rank 5.4 • Science 46%

a Python machine learning library for animal vocalizations and bioacoustics

Updated 10 months ago

ktrain • Rank 18.0 • Science 33%

ktrain is a Python library that makes deep learning and AI more accessible and easier to apply

Updated 10 months ago

nodding-pigeon • Rank 5.7 • Science 44%

Detection and classification of head gestures in videos

Updated 10 months ago

py-torchsummary • Rank 22.6 • Science 23%

Model summary in PyTorch similar to `model.summary()` in Keras

Updated 10 months ago

geoconv • Rank 6.4 • Science 36%

A Python library for end-to-end learning on surfaces. It implements pre-processing functions that include geodesic algorithms, neural network layers that operate on surfaces, visualization tools and benchmarking functionalities.

Updated 10 months ago

t81_558_deep_learning • Rank 12.5 • Science 26%

T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis

Updated 10 months ago

keras-gpt-copilot • Rank 6.7 • Science 31%

Integrate an LLM copilot within your Keras model development workflow

Updated 10 months ago

https://github.com/bagustris/dl_mir_tutorial2 • Rank 1.1 • Science 36%

Tutorial Deep Learning dengan Keras berbasis Theano untuk pengenalan genre musik

Updated 10 months ago

mantis-ml • Rank 8.3 • Science 26%

mantis-ml: Stochastic semi-supervised learning to prioritise genes from high throughput genomic screens

Updated 10 months ago

zookeeper • Rank 20.4 • Science 13%

A small library for managing deep learning models, hyperparameters and datasets

Updated 10 months ago

imageseg • Rank 8.5 • Science 23%

R package for deep learning image segmentation

Updated 10 months ago

hyperas • Rank 19.9 • Science 10%

Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization

Updated 10 months ago

https://github.com/beomi/tf-keras-on-lambda • Rank 0.7 • Science 26%

Example Repo for Tensorflow + Keras on AWS Lambda

Updated 10 months ago

https://github.com/bytedance/byteps • Rank 16.0 • Science 10%

A high performance and generic framework for distributed DNN training

Updated 10 months ago

https://github.com/carlomazzaferro/kryptoflow • Rank 9.0 • Science 13%

Real-time analysis of bitcoin markets with Kafka and Tensorflow Serving

Updated 10 months ago

https://github.com/bpesquet/mlkatas • Rank 7.7 • Science 13%

(Phased out) A series of challenges for practicing your Machine Learning and Deep Learning skills

Updated 10 months ago

https://github.com/szymonmaszke/torchlayers • Rank 7.7 • Science 10%

Shape and dimension inference (Keras-like) for PyTorch layers and neural networks

Updated 10 months ago

Photovoltaic_Fault_Detector • Rank 5.9 • Science 10%

Model Photovoltaic Fault Detector based in model detector YOLOv.3, this repository contains four detector model with their weights and the explanation of how to use these models.

Updated 10 months ago

https://github.com/cambridge-iccs/fortran-tf-lib • Rank 5.5 • Science 10%

A library for directly calling TensorFlow / Keras ML models from Fortran.

Updated 10 months ago

https://github.com/aalling93/ecnn-on-sar-data-and-radiometry-data • Rank 2.1 • Science 10%

Deep learning for Synthetic Aperture Radar(SAR) and Radiometry data. An Ensemble Convolutional Neural Network workflow is implemented with data acquisition, processing, labelling, creating model, training model and launching a model

Updated 10 months ago

https://github.com/cedrickchee/data-science-notebooks • Science 36%

Data science Python notebooks—a collection of Jupyter notebooks on machine learning, deep learning, statistical inference, data analysis and visualization.

Updated 10 months ago

https://github.com/amr-yasser226/deep-learning-journal • Science 26%

A personal collection of Jupyter notebooks, scripts, and resources documenting my exploration and learning in Deep Learning. From foundational neural network concepts to advanced transformer architectures, this repo tracks experiments, notes, and implementations.

Updated 10 months ago

multimodal-approach-for-ad • Science 54%

Code for "Automated Detection of Alzheimer’s Disease: A Multi-modal Approach With 3D MRI and Amyloid PET" paper

Updated 10 months ago

listening-beyond-the-labels-v1 • Science 44%

A scalable and non-invasive speech-based machine learning model for early Alzheimer's detection using mel-spectrograms and lightweight semi-supervised CNN with no transcription or neuroimaging needed.

Updated 10 months ago

https://github.com/cemenenkoff/qsnake • Science 23%

Explore how to use a deep Q-learning network to train an agent to play the classic game of Snake.

Updated 10 months ago

angorapy • Science 67%

Build embodied brain models with ease.

Updated 10 months ago

https://github.com/alexeyev/keras-generating-sentences-from-a-continuous-space • Science 10%

Text Variational Autoencoder inspired by the paper 'Generating Sentences from a Continuous Space' Bowman et al. https://arxiv.org/abs/1511.06349

Updated 10 months ago

https://github.com/beringresearch/lrfinder • Science 10%

Learning Rate Finder using Tensorflow Dataset

Updated 10 months ago

medical-analysis-assistant • Science 57%

a web appplication to assist with heart disease prediction, skin cancer and tubercolosis detection also with a health chatbot.

Updated 10 months ago

style_transfer_gan_project • Science 54%

To ensure a better diagnosis of patients, doctors may need to look at multiple MRI scans. What if only one type of MRI needs to be done and others can be auto-generated? Generative Adversarial Networks (GANs) have been used for generating deepfakes, new fashion styles and high-resolution pictures from the low-resolution ones

Updated 10 months ago

maltese-christian-statue-classifier • Science 26%

An AI initiative project, the Maltese Christian Statue (MCS) Classifier preserves and celebrates Maltese religious culture by accurately classifying 17 distinct categories of Christian statues, fostering deeper understanding and appreciation for the Maltese Culture.

Updated 10 months ago

poutyne • Science 44%

A simplified framework and utilities for PyTorch

Updated 10 months ago

https://github.com/materialsvirtuallab/megnet • Science 23%

Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals

Updated 10 months ago

air • Science 54%

A deep learning object detector framework written in Python for supporting Land Search and Rescue Missions.

Updated 10 months ago

https://github.com/alamkanak/parkinsons-research • Science 26%

An experiment to detect Parkinson's Disease using speech data

Updated 10 months ago

mobilebruise • Science 44%

Cooking recipes mobile app and REST API built with React Native and Java Script

Updated 10 months ago

deakin-ai-challenge2021 • Science 44%

The Deakin Simpsons challenge 2021 is a computer vision competition for which the goal is to recognize Simpsons characters individually in images using machine learning/deep learning. The challenge is designed to provide students with the opportunity to work as team members, to compete with each other, and to enhance the student learning experience by improving their AI modeling, problem-solving, and team-working skills.

Updated 10 months ago

sarlvision • Science 36%

A reinforcement learning object detector leveraging saliency ranking, offering a self-explainable system with a fully observable action log. | B.Sc. IT (Hons) Artificial Intelligence Dissertation | UOM Dean's List Awards 2024

Updated 10 months ago

panotti • Science 77%

A multi-channel neural network audio classifier using Keras

Updated 10 months ago

videoswin • Science 54%

Keras 3 Implementation of Video Swin Transformers for 3D Video Modeling

Updated 10 months ago

videomae • Science 54%

[NeurIPS'22] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training

Updated 10 months ago

https://github.com/aidinhamedi/pneumonia-detection-ai • Science 26%

This project uses a deep learning model built with the TensorFlow Library to detect pneumonia in X-ray images. The model architecture is based on the EfficientNetB7 model, which has achieved an accuracy of approximately 97.12% (97.11538%) on our test data. This high accuracy rate is one of the strengths of our AI model.