Pinned Repositories
3D-Scan-Alignment-Supervoxels-and-MI
adversarial-network-for-conditioned-feature-generation
Zero-Shot Learning using GAN
deep-bayesian-network
Implementations in Edward for Deep Probabilistic Programming
DNN-based-Localization
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
SBM-meet-GNN
Implementation of SBM-meet-GNN
Supervoxel-3D-Registration
Clustering based Scan-Registration for fused sensor data
Transforming-Autoencoder-TF
Tensorflow implementation of "Transforming Autoencoders" (Proposed by G.E.Hinton, et al.)
nikhil-dce's Repositories
nikhil-dce/Transforming-Autoencoder-TF
Tensorflow implementation of "Transforming Autoencoders" (Proposed by G.E.Hinton, et al.)
nikhil-dce/Learning-Disentangled-Representations-under-Supervision
Controllable Text Generation using variational auto-encoder (VAE) and text CNN
nikhil-dce/SBM-meet-GNN
Implementation of SBM-meet-GNN
nikhil-dce/adversarial-network-for-conditioned-feature-generation
Zero-Shot Learning using GAN
nikhil-dce/Supervoxel-3D-Registration
Clustering based Scan-Registration for fused sensor data
nikhil-dce/IBP-WF
nikhil-dce/3D-Scan-Alignment-Supervoxels-and-MI
nikhil-dce/DNN-based-Localization
nikhil-dce/deep-bayesian-network
Implementations in Edward for Deep Probabilistic Programming
nikhil-dce/ML-Reading-Group
MNIST implementations of popular models to get started
nikhil-dce/augmented-neural-odes
Pytorch implementation of Augmented Neural ODEs :sunflower:
nikhil-dce/Bayesian-Neural-Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace and more
nikhil-dce/ece590hineman
Repository for course materials for ECE 590 Scalable Reinforcement Learning
nikhil-dce/edward2
A simple probabilistic programming language.
nikhil-dce/Examining-Robustness-of-BNNs-to-Adversarial-Examples
ECE 590: ML for Security
nikhil-dce/FM-GAN
Tensorflow implementation for paper "Adversarial Text Generation via Feature-Mover’s Distance"
nikhil-dce/gae
Implementation of Graph Auto-Encoders in TensorFlow
nikhil-dce/gicp
Generalized ICP reference implementation
nikhil-dce/gold
Official repository for "GOLD: Improving Out-of-Scope Detection in Dialogues using Data Augmentation"
nikhil-dce/Gravity-Simulator
2D newtonian gravity simulator in JS
nikhil-dce/gym
A toolkit for developing and comparing reinforcement learning algorithms.
nikhil-dce/models
Models built with TensorFlow
nikhil-dce/pytorch_RVAE
Recurrent Variational Autoencoder that generates sequential data implemented in pytorch
nikhil-dce/resnet-pytorch
nikhil-dce/rl-baselines-zoo
A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
nikhil-dce/scan_mi
nikhil-dce/sequence_gan
Generative adversarial networks (GAN) applied to sequential data via recurrent neural networks (RNN).
nikhil-dce/spinningup
An educational resource to help anyone learn deep reinforcement learning.
nikhil-dce/tensorflow
Computation using data flow graphs for scalable machine learning
nikhil-dce/v130
Proceedings of AISTATS 2021