Name: Yaduvanshi Ankit
Type: User
Company: South Asian University
Bio: CS Major working to take quality education to everyone free of cost. Python. Artificial Intelligence. Machine Learning. Deep Learning. NLP. Virtual Assistants.
Location: New Delhi, India
Blog: https://in.linkedin.com/in/yaduvanshiankitofficial
Yaduvanshi Ankit's Projects
Annabelle the noob. An experimental, incomplete(at present) chatbot.
Virtual assistant
Text-based emotion analysis
A python code to detect emotions from text
Emotion Detection using CNN and LSTM
An implementation of iPhone X's FaceID using face embeddings and siamese networks on RGBD images.
Unofficial Tinder client. Previously Botinder (and Flamer).
Framework for Building Virtual Assistants with API.AI to be integrated with platforms such as Google Home
An open-source virtual assistant.
Tutorial on creating your own GAN in Tensorflow
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"
Deep learning simplified by transferring prior learning using the Python deep learning ecosystem
Document classification with Hierarchical Attention Networks in TensorFlow
Tensorflow implementation of a Hierarchical and Multiscale RNN, described in https://arxiv.org/abs/1609.01704
scrapes medias, likes, followers, tags and all metadata. Inspired by instagram-php-scraper
📷 Instagram Bot - Tool for automated Instagram interactions
RNN for Spoken Language Understanding
Open source virtual assistant brain. (Could be used to make a siri/alexa alternative)
Tensorflow implementation of joint modeling of SLU (intent & slot filling) and LM with RNNs.
Deep Learning for humans
Attention mechanism Implementation for Keras.
Keras implementations of Generative Adversarial Networks.
Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library
How to build a Multilayered LSTM Network to infer Stock Market sentiment from social conversation using TensorFlow.
Speech and Vision Based Intelligent Personal Assistant
Machine Learning algorithms using Tensorflow, Keras, SciKit learn & Python 3.
Projects developed using various Machine Learning Algorithms & Deep Learning Architectures.
A lovely virtual assistant for OS X, Windows and Linux systems.