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adobe18summer

async-deep-rl

A Tensorflow based implementation of "Asynchronous Methods for Deep Reinforcement Learning": https://arxiv.org/abs/1602.01783

async-rl

Tensorflow + Keras + OpenAI Gym implementation of 1-step Q Learning from "Asynchronous Methods for Deep Reinforcement Learning"

async-rl-1

Replicating "Asynchronous Methods for Deep Reinforcement Learning" (http://arxiv.org/abs/1602.01783)

async_deep_reinforce

Asynchronous Methods for Deep Reinforcement Learning

async_transfer_rl

bpvo

Faster than real time visual odometry

deep-lk

deepnrsfmpp

deeprl_dqn

demon

DeMoN: Depth and Motion Network

dpdy_proj

webpage for the project: "DpDy: Diffusion Priors for Dynamic View Synthesis from Monocular Videos"

dqn-tensorflow

Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning

dqtorch

a pytorch cuda extension for fast (dual) quaternion operations

epicflow

A Matlab wrapper for EpicFlow

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fcrn-depthprediction

Deeper Depth Prediction with Fully Convolutional Residual Networks (FCRN)

flownet2-pytorch

Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

fsdnerf

integral-human-pose

Integral Human Pose Regression

joint-vo-sf

Fast Odometry and Scene Flow from RGB-D Cameras based on Geometric Clustering

lietorch

lkvolearner

Learning Depth from Monocular Videos using Direct Methods, CVPR 2018

mightychaos.github.io

mrflow

Code for the paper "Optical Flow in Mostly Rigid Scenes" by Jonas Wulff, Laura Sevilla-Lara, Michael Black, CVPR 2017

npy-matlab

Experimental code to read/write NumPy .NPY files in MATLAB

openpose

OpenPose: A Real-Time Multi-Person Keypoint Detection And Multi-Threading C++ Library

psmnet

Pyramid Stereo Matching Network (CVPR2018)

pytorch-a2c-ppo-acktr

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO) and Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR).

pytorch-cyclegan-and-pix2pix

Image-to-image translation in PyTorch (e.g. horse2zebra, edges2cats, and more)