Cloning driver behavior using end-to-end deep neural-networks
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Updated
Dec 8, 2017 - Python
Cloning driver behavior using end-to-end deep neural-networks
Waste Management based project, uses a fast real-time object detector to classify and localize objects present in a live feed through a webcam, which will help in segregation. It can also be used in autonomous surveillance during ban.
TMNN: A Python library for building and experimenting with custom neural networks from scratch
This is a cnn based simple keras model on my laptop webcam
Google images scrapper in full resolution with multi threading speed
my work on NN in various subjects
Triple Three Engine (3T) is a Tic Tac Toe engine. It uses Machine Learning (ML) to predict the best move in a given Tic Tac Toe position. It can be trained to predict the best move in any board size, although the default is a 3 by 3 board.
Coloring images with a Convolutional Autoencoder
This Python Project code implements a simple neural network built from scratch using the NumPy library to classify whether a given number is odd or even.
This package is main for translate word into vector for nlp embedding. maybe chinese maybe english, any language you want to use is ok. This is main for those who will use word2vec in local from txt files. In particular, this implementation primarily helps to construct a separate word vector matrix for embedding in local NLP tasks.
A ML model which helps the differently abled people(i.e, deaf , dumb & blind) to communicate
The project is a neural network-based fashion recommendation system built using Python. The model used for this system is Resnet50, which is a deep learning model used for image recognition. The data used for training the model is scraped from Flipkart, with a total of 65,000 images.
This is a neural network that performs xor operation just by learning from data that is input
Not my own work, just following fun youtube tutorials!
Predict the future BTCUSDT cryptocurrency exchange prices using neural network.
A program that translates ASL to English text, utilizing TensorFlow's built-in convolutional neural network. It is considerably a remaster of an older model made by @grassknoted and @anaskhan96.
Implement intelligent agent for minigames using neural network and evolution algorithm
🧠🐍 A Neural Network that can classify between 35 snake breeds.
Hand written digit recognition model done with MNIST dataset using tensorflow keras library. the model can detect the handwritten number and achieved 97% accuracy with 10000 data samples provided with MNIST
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