akhileshkumargangwar
M.tech in Artificial Intelligence. Deep Learning Researcher, Working on NLP and Computer Vision Area.
Institute for Development and Research in Banking Tech (Idrbt)Hyderabad, India
Pinned Repositories
AdversarialNetsPapers
The classical paper list with code about generative adversarial nets
All-About-the-GAN
All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
Bankruptcy-Prediction
Mining the Polish Bankruptcy Data
CMU11785-Deep-Learning
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.
Data
dcnn_textvae
TensorFlow implementation of "Improved Variational Autoencoders for Text Modeling using Dilated Convolutions"
deep-learning
Repo for the Deep Learning Nanodegree Foundations program.
Deep-Learning-Specialization
Deeplearning.ai notes
GAN-NLP-Papers
akhileshkumargangwar's Repositories
akhileshkumargangwar/GAN-NLP-Papers
akhileshkumargangwar/AdversarialNetsPapers
The classical paper list with code about generative adversarial nets
akhileshkumargangwar/All-About-the-GAN
All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN
akhileshkumargangwar/awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
akhileshkumargangwar/Bankruptcy-Prediction
Mining the Polish Bankruptcy Data
akhileshkumargangwar/CMU11785-Deep-Learning
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.
akhileshkumargangwar/Data
akhileshkumargangwar/deep-learning
Repo for the Deep Learning Nanodegree Foundations program.
akhileshkumargangwar/Deep-Learning-Specialization
Deeplearning.ai notes
akhileshkumargangwar/deep-learning-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
akhileshkumargangwar/deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
akhileshkumargangwar/Deep-Learning-Tensorflow
Gathers Tensorflow deep learning models.
akhileshkumargangwar/feature-engineering-book
Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018
akhileshkumargangwar/Generative-adversarial-Nets-in-NLP
Implementation about Attention-Based Reward Conditional SeqGAN (AR-CSGAN)
akhileshkumargangwar/gt-nlp-class
Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"
akhileshkumargangwar/jupyter-BDA
Default crdit cad
akhileshkumargangwar/ML-DL-Group
This is Machine learning and Deep learning discussion group created by M.Tech AI students.
akhileshkumargangwar/MobilenetV2_SSD_Keras
akhileshkumargangwar/nmt
TensorFlow Neural Machine Translation Tutorial
akhileshkumargangwar/portfolio1
My resume
akhileshkumargangwar/pwc
Papers with code. Sorted by stars. Updated weekly.
akhileshkumargangwar/Quora-Question-Pairs
Quora Question pair Machine Learning
akhileshkumargangwar/really-awesome-gan
A list of papers on Generative Adversarial (Neural) Networks
akhileshkumargangwar/resumecard11
You can see the live demo
akhileshkumargangwar/SSD300_with_keras
Implementation of SDD object detection Model in keras
akhileshkumargangwar/stanford-tensorflow-tutorials
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
akhileshkumargangwar/TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners with Latest APIs
akhileshkumargangwar/text-classification-models-tf
Tensorflow implementations of Text Classification Models.
akhileshkumargangwar/text_classification
all kinds of text classificaiton models and more with deep learning
akhileshkumargangwar/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow