swami1995

36705-Intermediate-Stat

36-705 Intermediate Statistics, Fall 2017 - CMU Statistics

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

caffe

Caffe: a fast framework for deep learning. For the most recent version checkout the dev branch. For the latest stable release checkout the master branch.

Continuous-PPO-grad

deeplearning-papernotes

Summaries and notes on Deep Learning research papers

deligan

This project is an implementation of the Generative Adversarial Network proposed in our CVPR 2017 paper - DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data. DeLiGAN is a simple but effective modification of the GAN framework and aims to improve performance on datasets which are diverse yet small in size.

deq

[NeurIPS'19] Deep Equilibrium Models

diff-qp-mpc

exp_maml

Code for "Learning Exploration Strategies for Model Agnostic Meta-Reinforcement Learning", ICML AMTL workshop

vo-slam

Visual Odometry - SLAM with Loop Closure and Bundle Adjustment in MATLAB

swami1995/vo-slam

Visual Odometry - SLAM with Loop Closure and Bundle Adjustment in MATLAB

swami1995/diff-qp-mpc

swami1995/Continuous-PPO-grad

swami1995/exp_maml

Code for "Learning Exploration Strategies for Model Agnostic Meta-Reinforcement Learning", ICML AMTL workshop

swami1995/36705-Intermediate-Stat

36-705 Intermediate Statistics, Fall 2017 - CMU Statistics

swami1995/baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

swami1995/deeplearning-papernotes

Summaries and notes on Deep Learning research papers

swami1995/deligan

This project is an implementation of the Generative Adversarial Network proposed in our CVPR 2017 paper - DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data. DeLiGAN is a simple but effective modification of the GAN framework and aims to improve performance on datasets which are diverse yet small in size.

swami1995/deq

[NeurIPS'19] Deep Equilibrium Models

swami1995/dmcgym

dmcgym without mujoco-py dependency

swami1995/DQN-tensorflow

Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning

swami1995/draw

TensorFlow Implementation of "DRAW: A Recurrent Neural Network For Image Generation"

swami1995/labml

Organize PyTorch Experiments

swami1995/lecture-notebooks-2022

swami1995/lsd_slam

LSD-SLAM

swami1995/M3RL

Mind-aware Multi-agent Management Reinforcement Learning

swami1995/ORB_SLAM

A Versatile and Accurate Monocular SLAM

swami1995/PAWS

Implementation for "Exploiting Data and Human Knowledge for Predicting Wildlife Poaching". (COMPASS 2018)

swami1995/PAWS-COMPASS

Implementation for "Exploiting Data and Human Knowledge for Predicting Wildlife Poaching". (COMPASS 2018)

swami1995/pgm-spring-2019

Course webpage for PGM, Spring 2019.

swami1995/RLBench

swami1995/rpg_svo

Semi-direct Visual Odometry

swami1995/SimuRLacra

reinforcement learning from randomized simulations

swami1995/Sophus

C++ implementation of Lie Groups using Eigen.

swami1995/stanford_dl_ex

Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial

swami1995/swami1995.github.io

Personal Website

swami1995/torch7

swami1995/V2V

Code for "From Variance to Veracity: Unbundling and Mitigating Gradient Variance in Differentiable Bundle Adjustment Layers"

swami1995/vg-sac

swami1995/vimfiles

Portable vim configuration