deep learning
Projects with this topic
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PDE-based Group Equivariant CNNs for PyTorch
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Yolov5-segmentation identity card detection and rotation with the NCNN and OpenCV framework.
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✭ MAGNETRON ™ ✭: for making an IMAGINATION PROXIA/IMAGINATION PROXIA (A1). Instant neural graphics primitives: lightning fast NeRF (Neural Radiance Fields) and more...
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✭ MAGNETRON ™ ✭: Detectron2 is a platform for PROXIA that can do POSE ESTIMATION, object detection, segmentation and other visual recognition tasks.
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✭ MAGNETRON ™ ✭: HEARING PROXIA. 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.
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✭ MAGNETRON ™ ✭: OpenFace – a state-of-the art tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation.
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✭ MAGNETRON ™ ✭: Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
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✭ MAGNETRON ™ ✭: 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.
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Implementation of a (fully connected) Neural Network from scratch in C++.
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This repo contains the code and documentation of the project realized for the Artificial Vision course, developed during my Master's Degree course in Computer Engineering.
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Static chess position evaluation utilizing CNNs.
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A program of simulator and test statistic for continuous Bernoulli distribution. More than that, it contains the cases: 1)two Continuous Bernoulli populations and 2)continuous Trinomial distribution for variational autoencoder model in deep learning.
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Implementation and Analysis of a NN-based pressure predictor for Eulerian Fluid Simulation. Training includes the solver itself and aims to produce a result that can be fed back into the solver to achieve high accuracy in relatively few iterations.
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This project deals with training of convolutional neural network for licence plate detection in video. Darknet technology was used for detection, specifically the YOLOv3-tiny neural network model.
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Code used for producing results presented in the article "Signal mixture estimation for degenerate heavy Higgses using a deep neural network", published in I. Eur. Phys. J. C (2018) 78: 1010
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Using AWS Machine Learning services and Apache MXNet on a Raspberry Pi.
Code for the Johnny Pi series of posts on Medium https://medium.com/@julsimon/johnny-pi-i-am-your-father-part-0-1eb537e5a36
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