77 Components & Libraries
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The repository is organized the following way : For the moment, these cheat sheets are written manually. I'd like to create a visual content later that would both dive in the maths and illustrate cle…
Machine Learning based agent, helps to enable business automation. Technology: TensorFlow, Keras, Flask, Python, Node.js, JavaScript Author: Katana, Red Samurai Consulting, Andrejus Baranovskis Insta…
This repository contains implementations of multiple deep learning models (U-Net, FCN32 and SegNet) for multiclass semantic segmentation of the CamVid dataset
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 …
Check out corresponding Medium article: Structure your data as follows: For binary classifications you are good to go! For non-binary classifications:
We appreciate your interest in our work and trying out our code. We've noticed several cases where incorrect configuration leads to poor performance of detection and mitigation. If you also observe l…
Data science Python notebooks—a collection of Jupyter notebooks on machine learning, deep learning, statistical inference, data analysis and visualization. This repo contains various Python Jupyter n…
Image Classification using Keras as well as Tensorflow. Image Classification is a Machine Learning module that trains itself from an existing dataset of multiclass images and develops a model for fut…
In the paper they use a technique based on occlusion/dis-occlusion between two consecutive frames in videos for creating random irregular masks - instead I've opted for simply creating a simple mask-…
Automatically save and learn from Experiment results, leading to long-term, persistent optimization that remembers all your tests. HyperparameterHunter provides a wrapper for machine learning algorit…
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
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…
Machine learning for microcontroller and embedded systems. Train in Python, then do inference on any device with a C99 compiler. Embedded-friendly Inference Convenient Training Supporting libraries C…
Qlik's advanced analytics integration provides a path to making modern data science algorithms accessible to the wider business audience. This project is an attempt to show what's possible. This repo…
All of the Keras built in models are made available: This project has the following dependencies: The only thing you have to do to get started is set up the folders in the following structure:
A Convolutional Neural Network which converts piano audio to a simplified MIDI format.The final model takes as input an audio file (mono- or polyphonic)and outputs a simplified MIDI output with the c…
A minimal and customizable repo to deploy your image models as web app easily. Screenshot: It's easy to install and run it on your computer. It's also easy to customize and include your models in thi…
Imagine speeding up research for almost every disease, from lung cancer and heart disease to rare disorders. The 2018 Data Science Bowl offers our most ambitious mission yet: create an algorithm to…
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…
The idea behind creating this project was to build a machine learning model that could detect emotions from the speech we have with each other all the time. Nowadays personalization is something that…
My workshop on machine learning using python language to implement different algorithms (University of Tabriz, Iran, 2017).
Used Convolutional neural networks (CNN) for facial expression recognition . The goal is to classify each facial image into one of the seven facial emotion categories considered . Python 2.7, sklearn…
A package for machine learning inference in FPGAs. We create firmware implementations of machine learning algorithms using high level synthesis language (HLS). We translate traditional open-source ma…
Test tube is a python library to track and parallelize hyperparameter search for Deep Learning and ML experiments. It's framework agnostic and built on top of the python argparse API for ease of use.…
Here is some material about this topic if you want to read and listen to the theory instead of just doing hands-on: Here some more demos: The code is developed and tested on Mac and Linux operating s…
This repository contains some of the code I use in Kaggle data science/machine learning tasks. Where appliciable I keep all the code/data from a single competition within one a folder. i.e. 'californ…
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