Search Results for "deep learning with python" - Page 3
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Showing 74 open source projects for "deep learning with python"
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Super-résolution via CNN
Super resolution using a CNN, based on the work of the DGtal team
Super-resolution using a CNN, based on the work of the DGtal team. First of all, an Nvidia graphics card (neither AMD nor Intel integrated) is highly recommended to parallelize the CNN. You will then need to install CUDA. No CUDA = dozens of times slower. This program will generate "model_epoch_ .pth" files corresponding to the model at epoch n, in a folder saved_model_u t_bs bs_tbs tbs_lr lr, where corresponds to the scale factor, bsthe size of the training batch, tbsthe size of the test... -
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Image Super-Resolution (ISR)
Super-scale your images and run experiments with Residual Dense
The goal of this project is to upscale and improve the quality of low-resolution images. This project contains Keras implementations of different Residual Dense Networks for Single Image Super-Resolution (ISR) as well as scripts to train these networks using content and adversarial loss components. Docker scripts and Google Colab notebooks are available to carry training and prediction. Also, we provide scripts to facilitate training on the cloud with AWS and Nvidia-docker with only a few... -
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YouTube-8M
Starter code for working with the YouTube-8M dataset
...The code demonstrates how to process frame-level features, train logistic and deep learning models, evaluate them using metrics like global Average Precision (gAP) and mean Average Precision (mAP), and export trained models for MediaPipe inference. -
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PyTorch Natural Language Processing
Basic Utilities for PyTorch Natural Language Processing (NLP)
PyTorch-NLP is a library for Natural Language Processing (NLP) in Python. It’s built with the very latest research in mind, and was designed from day one to support rapid prototyping. PyTorch-NLP comes with pre-trained embeddings, samplers, dataset loaders, metrics, neural network modules and text encoders. It’s open-source software, released under the BSD3 license. With your batch in hand, you can use PyTorch to develop and train your model using gradient descent. For example, check out... -
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TenorSpace.js
Neural network 3D visualization framework
TensorSpace is a neural network 3D visualization framework built using TensorFlow.js, Three.js and Tween.js. TensorSpace provides Keras-like APIs to build deep learning layers, load pre-trained models, and generate a 3D visualization in the browser. From TensorSpace, it is intuitive to learn what the model structure is, how the model is trained and how the model predicts the results based on the intermediate information. After preprocessing the model, TensorSpace supports the visualization of pre-trained models from TensorFlow, Keras and TensorFlow.js. ... -
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Exposure
Learning infinite-resolution image processing with GAN and RL
Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model. ACM Transactions on Graphics (presented at SIGGRAPH 2018) Exposure is originally designed for RAW photos, which assumes 12+ bit color depth and linear "RGB" color space (or whatever we get after demosaicing). jpg and png images typically have only 8-bit color depth (except 16-bit pngs) and the lack of information (dynamic range/activation resolution) may... -
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PyQt5 Apps
Some useful apps based on PyQt5
PyQt5-Apps is a collection of desktop applications built using the PyQt5 framework, showcasing various graphical user interface implementations and utilities. The repository serves as a learning resource for developers interested in building cross-platform desktop applications with Python. It includes multiple small tools and demos that illustrate concepts such as window management, event handling, and UI design. The applications demonstrate how to integrate multimedia, file handling, and system interaction features within PyQt environments. ... -
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Bullet
JVM Bullet Physics SDK
Bullet is real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc. Jvm port of Bullet, by Erwin Coumans. Take a look at the tests to see what has been ported and tested to be working. A high-end desktop GPU, such as an AMD Radeon 7970 or NVIDIA GTX 680 or better. We succesfully tested the software under Windows, Linux and Mac OSX. The software currently doesn't work on OpenCL CPU devices. It might run on a laptop GPU but... -
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House3D
A Realistic and Rich 3D Environment
House3D is a large-scale virtual 3D simulation environment designed to support research in embodied AI, reinforcement learning, and vision-language navigation. It provides more than 45,000 richly annotated indoor scenes sourced from the SUNCG dataset, covering diverse architectural layouts such as studios, multi-floor homes, and spaces with detailed furnishings and room types. Each environment includes fully labeled 3D objects, allowing agents to perceive and interact with their surroundings... -
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Training Image Operators from Samples
Tools to train Image Operators automatically from a set of samples.
TRIOS - Training Image Operators from Samples is a set of tools to bring Image Processing closer to scientists in general. It is capable of estimating an operator between two images using only pairs of samples that contain an input image and the desired output. The operator is saved to a file and can be applied to any image. -
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lxnstack
A program to align and stack astronomical images.
Lxnstack is a program designed to align and stack astronomical images (both planetary and deep-sky). The features of latest version are: * Several stacking methods (average, median, sigma-clipping, ...) * Two automatic align method: align-points; phase correlation, * One manual align method. * sub-pixel precision (0.1 pixel for phase correlation and 0.01 pixel for manual alignment). * Automatic image derotation. * FITS file support (by installing the python2 package... -
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Marsyas (Music Analysis, Retrieval and Synthesis for Audio Signals) is a framework for developing systems for audio processing. It provides an general architecture for connecting audio, soundfiles, signal processing blocks and machine learning. Source code at SF is outdated! Marsyas is now hosted at GitHub: https://github.com/marsyas/marsyas Downloads are now provided at Bintray: https://bintray.com/marsyas
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MusicPlayer
Music player - endlessly plays your music
This music player is supposed to be simple and all centered around an infinite intelligent queue (some other players call this PartyShuffle or DJ mode). You can manually add songs to it - but if you don't or the queue gets too short, it will automatically intelligently fill it with further songs. The intelligent queue decision currently is based on: * song ratings * context-based choices, e.g. related songs more likely Other features of this player: * open source, simplified BSD... -
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MacroFusion
GUI to combine photos to get deeper DOF or HDR.
MacroFusion is a neat little GUI for great tool Enfuse (command line). It makes easy fusion few photos to one with great DOF (Deep of Field) or DR (Dynamic Range). It can be useful for every macro lovers or landscapers. -
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pyELib
A free open source system to create and manage collections of eBooks
pyELib is a free open source system to create and manage any collection of eBooks. Unlike other eBooks management softwares, pyELib doesn't need the user to input neither titles nor ISBNs, since it automatically analyzes the files and searches for details on the internet. Dupes and different editions are properly handled. Each book is then automatically associated to one or more category (through machine learning) and, if desired, renamed. The library is stored in a MySQL database... -
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RNNLIB is a recurrent neural network library for sequence learning problems. Applicable to most types of spatiotemporal data, it has proven particularly effective for speech and handwriting recognition. full installation and usage instructions given at http://sourceforge.net/p/rnnl/wiki/Home/
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MyNook
A machine learning system for supervised document classification
An open source system for supervised document classification based on statistical machine learning techniques. On the contrary of the state of art classification techniques, MyNook just requires the title of the document, not the content itself. -
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A Python script that can be used to get information on TV shows and Movie Shows from thetvdb.org and themoviedb.org. This is an learning experience and anybody can chime in on everything.
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The Python Computer Vision Framework is an opened project deisgned for all those interested in computer vision. It aims at making computer vision more easy and structured and matlab-free. It may also be used for other artistic and scientific areas.
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Strum aims to improve your musical skills on stringed instruments; learning scales, chord construction, and how to find them on various instruments with many tunings.
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This project aims to develop a tool to create DVD, hence the name; PyQtADA: Python and Qt another DVD Author. In linux there are very few tools to perform this functionality with high performance and a low learning curve for users.
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An experimental unsupervised learning method for improvising jazz melodies, based on restricted Boltzmann machines (RBMs) layered into Deep Belief Networks (forms of neural networks).
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This small python script will generate mp3 and corresponding text files for learning / training the morse code. It follows the method of Koch for teaching the characters and the method described in N0HFFs book for improving the skills even more.
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