Name: Akhilesh Kumar Gangwar
Type: User
Company: Institute for Development and Research in Banking Tech (Idrbt)
Bio: M.tech in Artificial Intelligence.
Deep Learning Researcher, Working on NLP and Computer Vision Area.
Location: Hyderabad, India
Blog: https://akhileshkumargangwar.github.io/portfolio1/
Akhilesh Kumar Gangwar's Projects
The classical paper list with code about generative adversarial nets
All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN
A curated list of awesome Deep Learning tutorials, projects and communities.
Mining the Polish Bankruptcy Data
Projects on AI topics like speech recognition, face recognition, and neural machine translation + Projects on engineering my own version of PyTorch libraries and optimization methods from scratch.
TensorFlow implementation of "Improved Variational Autoencoders for Text Modeling using Dilated Convolutions"
Repo for the Deep Learning Nanodegree Foundations program.
Deep Learning Specialization by Andrew Ng on Coursera.
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Deeplearning.ai notes
Gathers Tensorflow deep learning models.
The project surveys 16+ Natural Language Processing (NLP) research papers that propose novel Deep Neural Network Models for Text Classification, based on Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN). It also implements each of the models using Tensorflow and Keras.
How to predict credit defaulting?
Summaries and notes on Deep Learning research papers
Diversity-Promoting Generative Adversarial Network for Generating Informative and Diversified Text
Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018
Implementation about Attention-Based Reward Conditional SeqGAN (AR-CSGAN)
Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"
Default crdit cad
JupyterWorkflow Example
Python solution implementation of the Kaggle Titanic competition.
This is Machine learning and Deep learning discussion group created by M.Tech AI students.
Models and examples built with TensorFlow
TensorFlow Neural Machine Translation Tutorial