Rrc_detection
Accurate Single Stage Detector Using Recurrent Rolling Convolution
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Rrc_detection | 364 | 7 years ago | 36 | other | C++ | |||||
| Accurate Single Stage Detector Using Recurrent Rolling Convolution | ||||||||||
| Car Behavioral Cloning | 165 | 5 years ago | 6 | mit | Python | |||||
| Built and trained a convolutional network for end-to-end driving in a simulator using Tensorflow and Keras | ||||||||||
| Car Damage Detective | 137 | 6 years ago | 14 | Jupyter Notebook | ||||||
| Assessing car damage with convolution neural networks for a personal auto claims expedition use case | ||||||||||
| P5_vehicledetection_unet | 84 | 7 years ago | 4 | Jupyter Notebook | ||||||
| p5_VehicleDetection_Unet | ||||||||||
| Behavioralcloning For Self Driving Keras | 17 | 7 years ago | Jupyter Notebook | |||||||
| Keras/Tensorflow Implementation of `End-to-End Learning for self-driving car (Nvidia)`. Spatial factorization is additionally implemented to reduce network size. | ||||||||||
| Deeplearningforselfdrivingcars | 8 | 5 years ago | Jupyter Notebook | |||||||
| This is an implementation in Pytorch of nvidia's model to build a deep learning neural network for self-driving cars. | ||||||||||
| Carnd Behavioral Cloning P3 | 5 | 6 years ago | mit | Python | ||||||
| Self Driving Car ND Project 3 - Behavioral Cloning | ||||||||||
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