Build deep learning applications in a new and easy way.
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Updated
Dec 8, 2022 - Python
Build deep learning applications in a new and easy way.
An anthology of a variety of tools for the Persian language in Python
This repo contains solutions to Project Euler problems.
Meter display segmentation and reading the digits using OCR
The MNIST-M dataset for domain adaptation (PyTorch).
Uses Computer Vision and Machine Learning to solve sudoku in real time
GitHub for Deep Learning on Jetson TX2
These are a few of my miscellaneous python projects that don't fit elsewhere..
A PyTorch implementation of "Adapting Neural Architectures Between Domains" in NeurIPS 2020.
a python lib for generate random string and digits and special characters or A combination of them
First version of GUI handwritten digits recognizer written in Python with Pygame, OpenCV and TensorFlow/Keras.
A script that trains a model to recognize handwritten digits using the MNIST data set. Then it loads external files and uses the neural network to predict what digits they are.
This is a project in which I store all my attempts to create an application that can recognize effortlessly written in Bulgarian text and numbers.
A program for generating and analyzing four-digit combinations. Provides sequence counts and verification using itertools and collections libraries.
Teaching a neural network how to write letters and digits with reinforcement learning.
Predict with Caffe models and save the result in a suitable format
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