Pinned Repositories
DeepRL_Algorithms
DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)
dial_s2r
finite_elements_assignment
This is a private repository for the Project of "Foundation of finite elements method"
Firmware
PX4 Autopilot Software
Flight-Control-For-IARC
Basic nodes for flight control
garbage_classify
最严垃圾分类政策自7月1日颁布，如何进行垃圾分类已经成为居民生活的灵魂拷问。但是，没关系！AI在垃圾分类的应用可以成为居民的得力助手。本次垃圾分类挑战杯，目的在于构建基于深度学习技术的图像分类模型，实现垃圾图片类别的精准识别，大赛参考深圳垃圾分类标准，按可回收物、厨余垃圾、有害垃圾和其他垃圾四项分类。
huawei-garbage
2019 Huawei Cloud garbage Classification Competition online score 2th place
ICCT
iscoyizj.github.io
My personal webpage
learnGit
iscoyizj's Repositories
iscoyizj/Flight-Control-For-IARC
Basic nodes for flight control
iscoyizj/finite_elements_assignment
This is a private repository for the Project of "Foundation of finite elements method"
iscoyizj/DeepRL_Algorithms
DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)
iscoyizj/dial_s2r
iscoyizj/Firmware
PX4 Autopilot Software
iscoyizj/garbage_classify
最严垃圾分类政策自7月1日颁布，如何进行垃圾分类已经成为居民生活的灵魂拷问。但是，没关系！AI在垃圾分类的应用可以成为居民的得力助手。本次垃圾分类挑战杯，目的在于构建基于深度学习技术的图像分类模型，实现垃圾图片类别的精准识别，大赛参考深圳垃圾分类标准，按可回收物、厨余垃圾、有害垃圾和其他垃圾四项分类。
iscoyizj/huawei-garbage
2019 Huawei Cloud garbage Classification Competition online score 2th place
iscoyizj/ICCT
iscoyizj/iscoyizj.github.io
My personal webpage
iscoyizj/learnGit
iscoyizj/LearningByCheating
(CoRL 2019) Driving in CARLA using waypoint prediction and two-stage imitation learning
iscoyizj/mavros
MAVLink to ROS gateway with proxy for Ground Control Station
iscoyizj/personal_website
iscoyizj/pyzbar
Read one-dimensional barcodes and QR codes from Python 2 and 3.
iscoyizj/SafeOpt
Safe Bayesian Optimization
iscoyizj/TACO
🌮 Trash Annotations in Context Dataset Toolkit
iscoyizj/trashnet
Dataset of images of trash; Torch-based CNN for garbage image classification
iscoyizj/VAE-CVAE-MNIST
Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch