Projects in Awesome Lists by experiencor
A curated list of projects in awesome lists by experiencor .
https://github.com/experiencor/keras-yolo2
Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).
convolutional-networks deep-learning realtime regression yolo2
Last synced: 15 May 2025
https://github.com/experiencor/keras-yolo3
Training and Detecting Objects with YOLO3
deep-learning object-detection yolo
Last synced: 15 May 2025
https://github.com/experiencor/self-driving-toy-car
A self driving toy car using end-to-end learning
cnn-keras convolutional-networks deep-learning machine-learning raspberry-pi self-driving-car servo
Last synced: 06 Apr 2025
https://github.com/experiencor/image-to-3d-bbox
Build a CNN network to predict 3D bounding box of car from 2D image.
bounding-boxes cnn-keras convolutional-neural-networks deep-learning kitti-dataset regression self-driving-car
Last synced: 07 May 2025
https://github.com/experiencor/deep-viz-keras
Implementations of some popular Saliency Maps in Keras
convolutional-neural-networks deep-learning gradient keras machine-learning saliency-map visualization
Last synced: 15 Apr 2025
https://github.com/experiencor/semantic-lane-detection
A robust lane detection system based on fully convolutional network for segmenting the road and the lane.
lane-detection semantic-segmentation
Last synced: 15 Apr 2025
https://github.com/experiencor/kangaroo
A dataset of 183 images and annotations for kangaroo detection.
Last synced: 04 Feb 2026
https://github.com/experiencor/speed-prediction
Use 3D convolutional network to predict the speed of a car via dashcam stream. The final mean squared error on validation set is 3.1 (mile/hour)^2.
convolutional-neural-networks dashcam deep-learning speed-prediction
Last synced: 07 Mar 2026
https://github.com/experiencor/online-machine-learning
Implementation of an online learning algorithm to do classification under concept drift
follow-the-regularized-leader machine-learning online-learning-algorithms proximal-regularization
Last synced: 15 Apr 2025
https://github.com/experiencor/basic-rnn-lstm
Implementations of vanilla RNN and LSTM from scratch.
Last synced: 15 Apr 2025
https://github.com/experiencor/basic-machine-learning
Implementations of basic machine learning algorithms
bayes-classifier decision-trees gaussian-mixture-models gaussian-processes k-means least-squares machine-learning ridge-regression svm
Last synced: 15 Apr 2025