Discover @experiencor Open Source projects

Huynh Ngoc Anh (@experiencor)

experiencor

Stars
4,546
Global Rank 6,073 (Top 0.3 %)
Followers 554
Following 19
Registered about 11 years ago
Most used languages

Jupyter Notebook
75.0 %

Python
16.7 %

HTML
8.3 %
Location 🇸🇬 Singapore
Country Total Rank 54
Country Ranking

Jupyter Notebook
1

Python
28

HTML
1,333

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).

Jupyter Notebook

keras-yolo3

Training and Detecting Objects with YOLO3

self-driving-toy-car

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

Jupyter Notebook

image-to-3d-bbox

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

Jupyter Notebook

deep-viz-keras

Implementations of some popular Saliency Maps in Keras

Jupyter Notebook

semantic-lane-detection

A robust lane detection system based on fully convolutional network for segmenting the road and the lane.

Jupyter Notebook

kangaroo

A dataset of 183 images and annotations for kangaroo detection.

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.

Jupyter Notebook

online-machine-learning

Implementation of an online learning algorithm to do classification under concept drift

Jupyter Notebook

basic-rnn-lstm

Implementations of vanilla RNN and LSTM from scratch.

Jupyter Notebook

basic-machine-learning

Implementations of basic machine learning algorithms

Jupyter Notebook

rasa-play

deep-fake