Sawyer260's repositories
deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
google-research
Google Research
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
Learning-Single-Camera-Depth-Estimation-using-Dual-Pixels
This Repo is an implementation of paper titled "Learning Single Camera Depth Estimation using Dual-Pixels"
recurrent-defocus-deblurring-synth-dual-pixel
Reference github repository for the paper "Learning to Reduce Defocus Blur by Realistically Modeling Dual-Pixel Data".
tensorlayer
Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥
RLzoo
A Comprehensive Reinforcement Learning Zoo for Simple Usage 🚀
RL-Adventure-2
PyTorch0.4 implementation of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay
baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
MaplessNavigation
reinforcement learning algorithm for mapless navigation
pysot
SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.
leedeeprl-notes
李宏毅《深度强化学习》笔记，在线阅读地址：https://datawhalechina.github.io/leedeeprl-notes/
RLexample
Some basic examples of playing with RL
Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
Robot_path_planning
Robot path planning in static and dynamic environment (GSA, artificial potential field, QL, DDQL)
Warehouse_Robot_Path_Planning
A multi agent path planning solution under a warehouse scenario using Q learning and transfer learning.🤖️
Robotics-Planning-Dynamics-and-Control
RPDC : This contains all my MATLAB codes for the Robotics, Planning, Dynamics and Control . The implementations model various kinds of manipulators and mobile robots for position control, trajectory planning and path planning problems.
pytorch-A3C
Simple A3C implementation with pytorch + multiprocessing
TF2-RL
Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]
Dynamic-Path-Planner-Using-Probabilistic-Roadmaps
Changes may occur in static maps due to introduction of obstacles, other agents or some other changes in the environment that render the path unusable. As there is a need to address efficient re-planning in dynamic scenarios, in this paper, we investigate an algorithm that can store a road-map of the environment and use it to efficiently recompute a path to the destination in the advent of such environmental changes. Finally, we compare this algorithm with other standard path planning algorithms like A* and RRT, to study the performance increase in computation time and path length obtained by leveraging the same.
matlab-rrt-variants
RRT*, RRT-connect, lazy RRT and RRT extend have been implemented for 2d and 3d c-spaces with visualization
Motion-Planning-Algorithms
Matlab Implementations of some basic motion planning algorithms, such as A*, RRT, RRT*, Minimum Snap Trajectory Generation, etc..
Face-Attributes-Mobile
Regress Face Attributes with MobileNetV2
pytorch-a3c-1
PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
DDPG
Reimplementation of DDPG(Continuous Control with Deep Reinforcement Learning) based on OpenAI Gym + Tensorflow
DQN-tensorflow
Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning
dnac-python-path-trace
DNAC Path Trace using python scripts