-
University of Texas at Arlington
- https://sites.google.com/site/feiyunzhuhomepage/
Stars
Setup and customize deep learning environment in seconds.
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
Build your neural network easy and fast, 莫烦Python中文教学
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch
COMS W4995 Applied Machine Learning - Spring 19
Source Code for Machine Learning in Action for Python 3.X
Accompanying code for Paperspace tutorial series "How to Implement YOLO v3 Object Detector from Scratch"
🔥 TensorFlow Code for technical report: "YOLOv3: An Incremental Improvement"
YOLOv3 in PyTorch > ONNX > CoreML > TFLite
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.