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atari

AI research environment for the Atari 2600 games 🤖.

atari-rl

Atari - Deep Reinforcement Learning algorithms in TensorFlow

awesome-point-cloud-analysis

A list of papers and datasets about point cloud analysis (processing)

breakout-deep-q-network

tensorflow implementation of DQN, Dueling DQN and Double DQN performed on Atari Breakout

deepvesselnet

Implementation of the DeepVesselNet deep learning network

deformable-convnets

Deformable Convolutional Networks

dense_4dct_landmark_pairs

provide dense landmark pairs for dirlab 4dct image registration validation

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

dqn-tensorflow

Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning

drl_udacity

A explaintable and modified version of udacity DRL homework

flownet3d

FlowNet3D: Learning Scene Flow in 3D Point Clouds (CVPR 2019)

football-predictor

Using a Deep Neural Network (DNN) to predict the results of Premier League Football Matches

markerless_lung_tumor_tracking

kv image based markerless lung tumor tracking for radiotherapy

marl-for-anatomical-landmark-detection

Tensorflow Implementation of Multiple Landmark Detection using Multi-Agent Reinforcement Learning Paper

models

Models and examples built with TensorFlow

motion-rcnn

Motion R-CNN: Mask R-CNN with support for 3D motion estimation (prototype)

munit

Multimodal Unsupervised Image-to-Image Translation

niftyregsgd

pl-predictions-using-fifa

Training a neural network to predict the outcome of a football match using fifa ratings

pointnet

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

pointnet-autoencoder

Autoencoder for Point Clouds

pointnet2

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

pointnetlk

python

All Algorithms implemented in Python

quicksilver

Predictive Image Registration

rl-medical

Deep Reinforcement Learning (DRL) agents applied to medical images

rlgraph

RLgraph: Modular computation graphs for deep reinforcement learning

tensorflow-without-a-phd

A crash course in six episodes for software developers who want to become machine learning practitioners.

tf-adnet-tracking

Deep Object Tracking Implementation in Tensorflow for 'Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning(CVPR 2017)'

voxelmorph

Unsupervised Learning for Image Registration