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A high-performance C++ library for neural machine translation, with CUDA support for GPU acceleration.
A deep learning-based object detection library written in C++, with a focus on single-shot refinement for accurate object detection.
A research framework for easy and efficient training of Generative Adversarial Networks (GANs) based on PyTorch.
A collection of concise and beautiful algorithms written in the Julia programming language.
A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.
A neural network built in Apple Playground using Swift for emoji intelligence
A library that provides seamless model explainability for transformers models in just 2 lines of code.
A simple image captioning model built using the CLIP neural network for generating captions for images.
A toolbox to generate adversarial examples that fool neural networks in various ML frameworks.
A Python library for single/multi-view image to 3D voxel reconstruction using a recurrent neural network.
Softlearning is a powerful reinforcement learning framework for training maximum entropy policies in continuous domains.
A TensorFlow-based face recognition neural network library for Python developers.
Code for the Lovรกsz-Softmax loss, a loss function for image segmentation using neural networks.
NeuralSVG is an official Python implementation of a tool for generating SVG images from neural networks.
An open-source library for automatically rigging diverse skeletons using a single neural network model.
A neural network model for detecting different emotions from audio speeches using Python and deep learning.
A collection of small projects related to Neural Networks and Deep Learning with a focus on computer vision.
Code for an efficient channel attention module for deep convolutional neural networks.
This repository contains solutions to assignments for the CS231n course on Convolutional Neural Networks for Visual Recognition.
Spearmint is a Python package for performing Bayesian optimization of machine learning algorithms.
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