A implement of pix2pix for tensorflow version(Image-to-Image Translation with Conditional Adversarial Nets)

Limited Keyword Speech Recognition using Transfer Learning

This notebook builds an end-to-end multi-class image classifier using TensorFlow 2.x and TensorFlow Hub.

Face Mask Detection system both on image and video based on computer vision and deep learning using OpenCV and Tensorflow/Keras

Chainlink's Hackathon Spring 2023

Classifying images of dogs and cats with CNN using Tensorflow and Keras API

🔥 Deep NN Models with FRAMEWORKS -- PyTorch, Tensorflow 2, Kaldi, FastSpeech, MxNET Frameworks -- Image/Speech/NLP/Recommendation/Transformer Cognitive Analytics

A Command Line Tool (or CLI) to perform Neural Style Transfer along with image filtering to produce an artistic recreation of an input image!

To test if CAPTCHA secure login security codes are secure from bot attacks I developed a CNN classifier model in Python using TensorFlow to predict the CAPTCHA codes. Predicted over 40,000 CAPTCHA codes with an accuracy above 98%.

Python implementation of Word Embeddings - Word2Vec(CBOW, Skip Gram), GloVe, Count Vectors, TF-IDF, Co-Occurrence Matrix.

学习tensorflow，看源码

handwriting recognition with funtional API with deep learning

A Machine Learning Ensemble for Early Blindness Prevention

A repository demonstrating different examples of LSTM.

brain tumor detection

Logistic regression is a statistical technique primarily used for binary classification tasks. It predicts the probability of a binary outcome based on one or more predictor variables. Unlike linear regression, which predicts continuous outcomes, logistic regression deals with categorical outcomes.

This project can be used to train your model to detect and recognize custom objects in images

Speech Recognition is an important feature in several applications used such as home automation, artificial intelligence, etc. This article aims to provide an introduction on how to make use of the SpeechRecognition library of Python. This is useful as it can be used on micro controllers such as Raspberry Pis with the help of an external microph…

Convolutional Neural Network model- cat/dog classification

An android application to classify 7 different types of skin cancers (images) built by integrating a CNN-RF ensemble Deep Learning model using Kotlin.