Fastseg📸 PyTorch implementation of MobileNetV3 for real-time semantic segmentation, with pretrained weights & state-of-the-art performance
Halite IiSeason 2 of @twosigma's artificial intelligence programming challenge
Softmax variantsPyTorch code for softmax variants: center loss, cosface loss, large-margin gaussian mixture, COCOLoss, ring loss
UrduhackAn NLP library for the Urdu language. It comes with a lot of battery included features to help you process Urdu data in the easiest way possible.
ImageatmImage classification for everyone.
Keras ArcfaceKeras implementation of ArcFace, CosFace, and SphereFace
NeuraletNeuralet is an open-source platform for edge deep learning models on edge TPU, Jetson Nano, and more.
IdtImage Dataset Tool (idt) is a cli tool designed to make the otherwise repetitive and slow task of creating image datasets into a fast and intuitive process.
Yolo TfTensorFlow implementation of the YOLO (You Only Look Once)
DeepsleepnetDeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG
Image To 3d BboxBuild a CNN network to predict 3D bounding box of car from 2D image.
Traffic Sign DetectionTraffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".
Openl3OpenL3: Open-source deep audio and image embeddings
Human Pose Estimation.pytorchThe project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"
Siamese TripletSiamese and triplet networks with online pair/triplet mining in PyTorch
Biggan PytorchThe author's officially unofficial PyTorch BigGAN implementation.
Sppnet PytorchA simple Spatial Pyramid Pooling layer which could be added in CNN
RadioRadIO is a library for data science research of computed tomography imaging
Ml LessonsIntro to deep learning for medical imaging lesson, by MD.ai
Bmxnet V2BMXNet 2: An Open-Source Binary Neural Network Implementation Based on MXNet
PtgnnA PyTorch Graph Neural Network Library
S Vae TfTensorflow implementation of Hyperspherical Variational Auto-Encoders
Stock Selection A FrameworkThis project demonstrates how to apply machine learning algorithms to distinguish "good" stocks from the "bad" stocks.
Atari Model ZooA binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release that enables easy visualization and analysis of models, and comparison across training algorithms.
Keras UnetHelper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks
OpenvqaA lightweight, scalable, and general framework for visual question answering research
TensealA library for doing homomorphic encryption operations on tensors
MunitMultimodal Unsupervised Image-to-Image Translation
ClearmlClearML - Auto-Magical CI/CD to streamline your ML workflow. Experiment Manager, MLOps and Data-Management
Thinc🔮 A refreshing functional take on deep learning, compatible with your favorite libraries
SvhnclassifierA TensorFlow implementation of Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks (http://arxiv.org/pdf/1312.6082.pdf)
Keras AcganAuxiliary Classifier Generative Adversarial Networks in Keras
FreezeoutAccelerate Neural Net Training by Progressively Freezing Layers
Dgl LifesciPython package for graph neural networks in chemistry and biology
VectoraiVector AI — A platform for building vector based applications. Encode, query and analyse data using vectors.