• DeOldify: A Deep Learning based project for colorizing and restoring old images (and video!)
• awesome-data-labeling: A curated list of awesome data labeling tools
• skorch: A scikit-learn compatible neural network library that wraps PyTorch
• LiviaNET: This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"
• neupy: NeuPy is a Tensorflow based python library for prototyping and building neural networks
• models: A collection of pre-trained, state-of-the-art models in the ONNX format
• _neurolib_deprecated: A library for neuroscientists by neuroscientists
• label-studio: Label Studio is a multi-type data labeling and annotation tool with standardized output format
• kaldi: kaldi-asr/kaldi is the official location of the Kaldi project.
• DeepSpeech: DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
• ml-workshop-1-of-4: Introduction to Machine learning with Python, 4h interactive workshop
• deepfloat: An exploration of log domain "alternative floating point" for hardware ML/AI accelerators.
• Ax: Adaptive Experimentation Platform
• quickNAT_pytorch: PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty
• deepflow: This code contains the neural network implementation from the nature communication manuscript NCOMMS-16-25447A.
• neural-enhance: Super Resolution for images using deep learning.
• horovod: Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
• DAIN: Depth-Aware Video Frame Interpolation (CVPR 2019)
• DrQA: Reading Wikipedia to Answer Open-Domain Questions