Pinned Repositories
adversarial-commonsense-testing-BERT-SWAG
This is my contribution towards generating adversarial commonsense questions tested on BERT and SWAG
EECS-435-DL-Foundations
Repository for the course, deep learning foundations from scratch
feature-extraction-for-signature-verification
This repository contains the source for the paper "Analyzing Feature Extraction For Offline Signature Verification Using Deep Neural Networks"
gan-compression
This repository contains the source for the paper "Analysing Image Compression using Generative Adversarial Networks"
gan-noise
This repository contains the source for the paper "Understanding how Adversarial Noise affects Single Image Classification"
gan-sr
This repository contains the source for the paper "Understanding Single Image Super-Resolution Techniques with Generative Adversarial Networks"
MSAI-348-Intro-Artificial-Intelligence
pytorch-nn-scripts
Scripts of neural architectures implemented in PyTorch
PyTorch101
PyTorch Learning Jupyter Notebooks
S-LSTM-GAN-MNIST
This repository contains the source for the paper "S-LSTM-GAN: Shared recurrent neural networks with adversarial training"
amitadate's Repositories
amitadate/S-LSTM-GAN-MNIST
This repository contains the source for the paper "S-LSTM-GAN: Shared recurrent neural networks with adversarial training"
amitadate/gan-compression
This repository contains the source for the paper "Analysing Image Compression using Generative Adversarial Networks"
amitadate/pytorch-nn-scripts
Scripts of neural architectures implemented in PyTorch
amitadate/PyTorch101
PyTorch Learning Jupyter Notebooks
amitadate/adversarial-commonsense-testing-BERT-SWAG
This is my contribution towards generating adversarial commonsense questions tested on BERT and SWAG
amitadate/EECS-435-DL-Foundations
Repository for the course, deep learning foundations from scratch
amitadate/MSAI-348-Intro-Artificial-Intelligence
amitadate/MSAI-349-Machine-Learning
This repository contains course assignments during Northwestern University Graduate Course - Machine Learning
amitadate/al-folio
A beautiful Jekyll theme for academics
amitadate/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
amitadate/BlockCNN
BlockCNN: A Deep Network for Artifact Removal and Image Compression
amitadate/compare_gan
Compare GAN code.
amitadate/convex_adversarial
A method for training neural networks that are provably robust to adversarial attacks.
amitadate/deep-learning-course
amitadate/EECS-337-NLP-Project-01
Repository for projects undertaken in the course ' Natural Language Processing ' at Northwestern University
amitadate/EECS-337-NLP-Project-02
Repository for projects undertaken in the course ' Natural Language Processing ' at Northwestern University
amitadate/EECS-371-KRR
amitadate/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
amitadate/fastai
The fastai deep learning library
amitadate/gan
Tensorflow code of Dist-GAN, GN-GAN and other GAN methods
amitadate/GAN-2-Vec-Language-Modeling
Repository for the project of course EECS397-Statistical Language Modeling
amitadate/google-research
Google AI Research
amitadate/kaggle-google-analytics-revenue-prediction
This repository contains the source for the Kaggle competition "Google Analytics Customer Revenue Prediction"
amitadate/LSC_GAN
amitadate/machine_learning_refined
Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).
amitadate/magenta
Magenta: Music and Art Generation with Machine Intelligence
amitadate/Open3D
Open3D: A Modern Library for 3D Data Processing
amitadate/pytext
A natural language modeling framework based on PyTorch
amitadate/SPADE
Semantic Image Synthesis with SPADE
amitadate/tensor2robot
Distributed machine learning infrastructure for large-scale robotics research