Huynh Ngoc Anh

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).

keras-yolo3. Training and Detecting Objects with YOLO3

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

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

deep-viz-keras. Implementations of some popular Saliency Maps in Keras

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

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

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.

didi-starter. Jupyter Notebook

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

BCCD_Dataset. BCCD Dataset is a small-scale dataset for blood cells detection.

basic-rnn-lstm. Implementations of vanilla RNN and LSTM from scratch.

basic-machine-learning. Implementations of basic machine learning algorithms

deeplearnjs. A hardware-accelerated deep learning library for the web.

keras-mobilenet. Google MobileNet implementation with Keras

transformers. 🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

Megatron-LM. Ongoing research training transformer language models at scale, including: BERT

deep-fake. Python

NeMo-Guardrails. NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.

rasa-play. HTML

autacity. Jupyter Notebook