Deep-neural-network Libraries

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Deep-neural-network Libraries

Get started with Machine Learning with Python - An introduction with Python programming examples

There are two options. Note: On each of those options, you'll find: No installations needed. Note: On each notebook, click on "Open in Colab", in order to open it on Google Colab Worried about whethe…

Face recognition and analytics library based on deep neural networks and ONNX runtime

C# interface

A curated list of extensions, python packages, machine learning and collaborative notebooks ready to run in Deepnote.

ML-capsule is a Project for beginners and experienced data science Enthusiasts who don't have a mentor or guidance and wish to learn Machine learning. Using our repo they can learn ML, DL, and many related technologies with different real-world projects and become Interview ready.

Extraction is a general term for methods of constructing combinations of the variables to get around these problems while still describing the data with sufficient accuracy Data visualization is the …

MachineLearning-DeepLearning-Code-for-my-YouTube-Channel

The full collection of all codes for my Youtube Channel segregated as per topic.

Machine Learning (Beginners Hub), information(courses, books, cheat sheets, live sessions) related to machine learning, data science and python is available

Note: These Self prepared Interview Questions will be updated weekly.

Machine-Learning-A-Z-hands-on-Python-And-R-in-data-Science

Repository For Codes And Concept Taught in Udemy Course

Repository For Codes And Concept Taught in Udemy Course Files available for redistribution and download only for educational purposes.

WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].

Our augmentation method can accurately emulate realistic color constancy degradation. Existing color augmentation methods often generate unrealistic colors which rarely happen in reality (e.g., green…

⚡ Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes ⚡

Input encrypted text, get the decrypted text back. "What type of encryption?" That's the point. You don't know, you just know it's possibly encrypted. Ciphey will figure it out for you. Ciphey can so…

Python package containing all custom layers used in Neural Networks (Compatible with PyTorch, TensorFlow and MegEngine)

Keras-based python framework to compute phonological posterior probabilities from audio files

This toolkit compute posteriors probabilities of phonological classes from audio files for several groups of phonemes according to the mode and manner of articulation. Paper The list of the phonologi…

An experimental Pytorch implementation of Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network

An experimental PyTorch implementation of Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network. Considering the popularity of PyTorch in academia, we hope this repo can h…

Understanding emotions from audio files using neural networks and multiple datasets.

This project presents a deep learning classifier able to predict the emotions of a human speaker encoded in an audio file. The classifier is trained using 2 different datasets, RAVDESS and TESS, and …

Machine Learning Environment - alpha version

Here is how it looks in action: Get VergeML via pip: Verify your installation by typing: Let's create a very simple image classifier which tells apart cats from dogs. First, we create a new project f…

Deep Learning workshop including image classification, face recognition, Object detection, language modelling, image captioning and neural machine translation.

:book: This guide is to help you understand the basics of the computerized image and develop computer vision projects with OpenCV. Includes Python, Java, JavaScript, C# and C++ examples.

A metric for Perceptual Image-Error Assessment through Pairwise Preference (PieAPP at CVPR 2018).

In this repo, we provide the Tensorflow and PyTorch implementations of our evaluation code for PieAPP v0.1 along with the trained models. We also provide a Win64 command-line executable. The input to…

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

To install the current release: Participating discussions via the following IM groups is also welcomed. Over the past few years, NNI has received thousands of feedbacks on GitHub issues, and pull req…

Deep learning with satellite & aerial imagery

Extracting roads is challenging due to the occlusions caused by other objects and the complex traffic environment In instance segmentation, each individual 'instance' of a segmented area is given a u…

Arm Machine Learning tutorials and examples

Deploy a quantized TensorFlowLite MobileNet V2 model on Android using the Arm NN SDK. Implement a neural style transfer on Android with Arm NN APIs. CMSIS project showing keyword spotting (KWS) and o…

Python script for illustrating Convolutional Neural Networks (CNN) using Keras-like model definitions

Python script for illustrating Convolutional Neural Networks (CNN). Inspired by the draw_convnet project [1]. python-pptx (if you want to save models as pptx) Keras (if you want to convert Keras sequ…

German-Traffic-Sign-Classification-Using-TensorFlow

In this project, I used Python and TensorFlow to classify traffic signs. Dataset used: German Traffic Sign Dataset. This dataset has more than 50,000 images of 43 classes. I was able to reach a +99% validation accuracy, and a 97.3% testing accuracy.

I'll explain each step in details below. The pickled data is a dictionary with 4 key/value pairs: In this step, we will apply several preprocessing steps to the input images to achieve the best…

[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

The projects I do in Machine Learning with PyTorch, keras, Tensorflow, scikit learn and Python.

My Projects, Kaggle Competitions and implementation of some popularly known machine learning algorithms. I have also included a list of research papers I have curated in the feild of ML/DL/AI. Follow…

Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray

Then, define the BigDL model using Keras-style API:

Deep Learning Toolkit for Medical Image Analysis

If you use DLTK in your work please refer to this citation for the current version: Setup a virtual environment and activate it. Although DLTK<=0.2.1 supports and python 2.7, we will not support i…

VizSec17: Web-based visualization tool for adversarial machine learning / LiveDemo

This is Andrew Norton's capstone research work. The goal is to perform a similar function to Google's TensorFlow Playground, but for evasion attacks in adversiaral machine learning. It is a web ser…