Deep learning topic
Deep learning is an AI function and a subset of machine learning, used for processing large amounts of complex data. Deep learning can automatically create algorithms based on data patterns.
OW-YOLO
Detect known and unknown objects in the open world（具有区分已知与未知能力的全新检测器））
3D-Reconstruction-with-Deep-Learning-Methods
List of projects for 3d reconstruction
JPerceiver
[ECCV 2022]JPerceiver: Joint Perception Network for Depth, Pose and Layout Estimation in Driving Scenes
VulnerabilityDetection
vulnerability detection in python source code with LSTM networks
TFClassify-Unity
An example of using Tensorflow with Unity for image classification and object detection.
TFClassify-Unity-Barracuda
An example of using Tensorflow and ONNX models with Unity Barracuda inference engine for image classification and object detection.
FBNN
Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)
Classify-Real-Time-Desktop
Inception model used to classify camera feed on real time. Coded during the Deep Learning Hackathon 2017 San Francisco
ai_research_trends
Trends of arxiv submissions counted from twitter/medium/reddit etc.
dqn
TensorFlow & Keras implementation of DQN with HER (Hindsight Experience Replay)