nikhil-dce Goto Github PK

3d-scan-alignment-supervoxels-and-mi

adversarial-network-for-conditioned-feature-generation

Zero-Shot Learning using GAN

allanlab

Allan Lab website

augmented-neural-odes

Pytorch implementation of Augmented Neural ODEs :sunflower:

bayesian-neural-networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace and more

cs344

Introduction to Parallel Programming class code

deep-bayesian-network

Implementations in Edward for Deep Probabilistic Programming

deepdream

dnn-based-localization

ece590hineman

Repository for course materials for ECE 590 Scalable Reinforcement Learning

edward2

A simple probabilistic programming language.

examining-robustness-of-bnns-to-adversarial-examples

ECE 590: ML for Security

fm-gan

Tensorflow implementation for paper "Adversarial Text Generation via Feature-Mover’s Distance"

gae

Implementation of Graph Auto-Encoders in TensorFlow

gicp

Generalized ICP reference implementation

gold

Official repository for "GOLD: Improving Out-of-Scope Detection in Dialogues using Data Augmentation"

gravity-simulator

2D newtonian gravity simulator in JS

gym

A toolkit for developing and comparing reinforcement learning algorithms.

ibp-wf

learning-disentangled-representations-under-supervision

Controllable Text Generation using variational auto-encoder (VAE) and text CNN

ml-reading-group

MNIST implementations of popular models to get started

models

Models built with TensorFlow

painters-lesson-ios-opengl

This is a simple IOS application written in Objective C and OpenGL which I made in my freshman year at Delhi Technological University as a part of the Computers Graphics course I took.

pcl

Point Cloud Library (PCL)

pytorch_rvae

Recurrent Variational Autoencoder that generates sequential data implemented in pytorch

resnet-pytorch

rl-baselines-zoo

A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

sbm-meet-gnn

Implementation of SBM-meet-GNN

scan_mi

sequence_gan

Generative adversarial networks (GAN) applied to sequential data via recurrent neural networks (RNN).