Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)
Playing Flappy Bird Using Deep Reinforcement Learning (Based on Deep Q Learning DQN using Tensorflow)
Reimplementation of DDPG(Continuous Control with Deep Reinforcement Learning) based on OpenAI Gym + Tensorflow
Recent Papers including Neural Symbolic Reasoning, Logical Reasoning, Visual Reasoning, planning and any other topics connecting deep learning and reasoning
Playing Wechat Jump Game with End-to-End Convolutional Neural Networks
Simplest Version of playing Atari with Deep Q Learning in Tensorflow
Lifelong/Continual Learning Paper List
Test Several Visual Object Tracking Algorithm including CMT,TLD,CT on iOS
Written in Swift Using latest Sprite kit a copy version of wechat game 微信打飞机!
Pytorch code for Arxiv Paper: Learning to learn: Meta-Critic Networks for Sample-Efficient Learning
advantage actor-critic reinforcement learning for openai gym cartpole
Playing Wechat Jump Game with End-to-End Convolutional Neural Networks (Train code)
DDPG on OpenAI Gym Pendulum
Autonomous Quadrotor Simulation Research Platform based on ROS,Gazebo,Pixhawk,DRCsim..
A OpenAI Gym Env for Flappy Bird
terrain-adaptive locomotion skills using deep reinforcement learning
An attempt to reproduce the results of "Asynchronous Methods for Deep Reinforcement Learning" (http://arxiv.org/abs/1602.01783)
Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
rllab is a framework for developing and evaluating reinforcement learning algorithms.
Demo for the paper titled "Learning to Compare: Relation Network for Few-Shot Learning"
A list of papers and resources dedicated to deep reinforcement learning
One Shot Learning using Memory-Augmented Neural Networks based on Neural Turing Machine architecture in Tensorflow
SpotMicro AI - How to build a self-learning Robot
Implementation of Deep Deterministic Policy Gradients using TensorFlow, compatible with the OpenAI Gym
iPhone Control ev3 car by bluetooth
PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Zero-Shot Learning part)
tensorflow implementation of 'YOLO : Real-Time Object Detection'
source code to ICLR'19, 'A Closer Look at Few-shot Classification'
A re-implementation of "Prototypical Networks for Few-shot Learning"
Tensorflow + Keras + OpenAI Gym implementation of 1-step Q Learning from "Asynchronous Methods for Deep Reinforcement Learning"
Implementation of Newest RNN and Seq2Seq Features
TensorFlow implementation of Deep Reinforcement Learning papers
Turn your two-bit doodles into fine artworks with deep neural networks! An implementation of Semantic Style Transfer.
Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.
Convolutional Neural Networks
run tiny CNN on OSX
Collection of reinforcement learning algorithms
Tensorflow implementation of pixel-recursive-super-resolution(Google Brain paper: https://arxiv.org/abs/1702.00783)
PHYRE is a benchmark for physical reasoning.
Implementation of Using Fast Weights to Attend to the Recent Past
subpixel: A subpixel convnet for super resolution with Tensorflow
C++ Implementation of KCF Tracker
The original code from the DeepMind article + my tweaks
Open Source iOS app 3D Protractor
Open Source iOS app
Neural Network Toolbox on TensorFlow
Open Source iOS app
Open Source iOS app
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
Image super-resolution through deep learning
One-shot Learning with Memory-Augmented Neural Networks
A TensorFlow implementation of DeepMind's Differential Neural Computers (DNC)
Reinforcement learning with unsupervised auxiliary tasks
third person imitation learning shit post for replication
Tensorflow implementation of "The Predictron: End-To-End Learning and Planning"
ROLO is short for Recurrent YOLO, aimed at simultaneous object detection and tracking
Controlling EV3 Robot Arm by Hand Gesture using iPhone
visual tracker benchmark results
comma.ai for the people to experiment with
Asynchronous Methods for Deep Reinforcement Learning
Implementation of TRPO and related algorithms
Neural style in TensorFlow! • http://www.anishathalye.com/2015/12/19/an-ai-that-can-mimic-any-artist/ • https://git.io/style
Multilayer LSTM and Mixture Density Network for modelling path-level SVG Vector Graphics data in TensorFlow
Generative Handwriting using LSTM Mixture Density Network with TensorFlow
cnn network predict face landmarks (68 points) and head pose (3d pose, yaw,roll,pitch).
Scale adaptive mean-shift tracker
Semi-direct Visual Odometry
Deep Q Learning in Tensorflow for ATARI
contains submodules for ROS SITL, used to define relations between projects/versions
Guided Policy Search
Theano-based implementation of Deep Q-learning
A list of recent papers regarding deep reinforcement learning
MAVLink to ROS gateway with UDP proxy for Ground Control Station
Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial