pratikm141

MMD-Variational-Autoencoder-Pytorch-InfoVAE

Implementation of the MMD VAE paper (InfoVAE: Information Maximizing Variational Autoencoders) in pytorch

Few-Shot-Attribute-and-Multi-Label-Classification-Using-Deep-Neural-Network

Code for Few-Shot Attribute and Multi-Label Classification Using Deep Neural Network implemented in pytorch

FSLL

Few-Shot Lifelong Learning

AVGZSLNet

Audio Visual Generalized Zero-Shot Learning Network

CNN-Action-Recognition

Action Recognition using Convolutional Neural Network (CNN)

deeplearning.ai-GANs-Specialization

A Generative Adversarial Networks (GANs) Specialization made by deeplearning.ai on Coursera

DXY-Projects

Some projects from Xuanyi Dong.

GIFSL

Grafting based Improved Few-Shot Learning

imgclsmob

Sandbox for training convolutional networks for computer vision

logan

Code for the AAAI'18 paper "No Modes left behind: Capturing the data distribution effectively using GANs"

RNNP

Robust Nearest Neighbour Prototype

MMD-Variational-Autoencoder

OpenFacePytorch

PyTorch module to use OpenFace's nn4.small2.v1.t7 model

pratikm141.github.io

PRML

PRML algorithms implemented in Python

RKR

Rectification-based Knowledge Retention for Incremental Learning

Self-Attention-GAN

Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)

ssd.pytorch

A PyTorch Implementation of Single Shot MultiBox Detector

wgan-gp

A pytorch implementation of Paper "Improved Training of Wasserstein GANs"