All Git Users → experiencor

8 open source projects by experiencor

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1. Image To 3d Bbox

Build a CNN network to predict 3D bounding box of car from 2D image.

✭ 200

jupyter-notebook deep-learning convolutional-neural-networks regression self-driving-car cnn-keras bounding-boxes

2. Deep Viz Keras

Implementations of some popular Saliency Maps in Keras

✭ 154

jupyter-notebook deep-learning machine-learning visualization keras convolutional-neural-networks gradient

3. 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).

✭ 1,693

Jupyter Notebook python deep-learning realtime regression convolutional-networks yolo2

4. Keras Yolo3

Training and Detecting Objects with YOLO3

✭ 1,532

python shell deep-learning object-detection yolo

5. Self Driving Toy Car

A self driving toy car using end-to-end learning

✭ 494

jupyter-notebook deep-learning machine-learning raspberry-pi self-driving-car convolutional-networks cnn-keras

6. 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.

✭ 34

Jupyter Notebook deep-learning convolutional-neural-networks dashcam speed-prediction

7. kangaroo

A dataset of 183 images and annotations for kangaroo detection.

✭ 49

8. raccoon dataset

The dataset is used to train my own raccoon detector and I blogged about it on Medium

✭ 66

1-8 of 8 user projects