forrest-gan Goto Github PK

ai-learn

人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

awesome-action-recognition

A curated list of action recognition and related area resources

awesome-image-captioning

A curated list of image captioning and related area resources. :-)

c3d

C3D is a modified version of BVLC caffe to support 3D ConvNets.

c3d-keras

C3D for Keras + TensorFlow

cbam.pytorch

Non-official implement of Paper：CBAM: Convolutional Block Attention Module

cdnn-traffic-saliency

cvpr2019_pyramid-feature-attention-network-for-saliency-detection

code and model of Pyramid Feature Selective Network for Saliency detection

darknet

YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )

deep-learning-models

Keras code and weights files for popular deep learning models.

deep-learning-with-pytorch-tutorials

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

deep-learning-with-tensorflow-book

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

detection-of-traffic-anomaly

This is the repo for our Detection of Traffic Anomaly (DoTA) dataset.

dhf1k

Revisiting Video Saliency: A Large-scale Benchmark and a New Model (CVPR18, PAMI19)

dilation

Dilated Convolution for Semantic Image Segmentation

dreye-thu

dreye on tensorflow 2.0

dreyeve

Predicting the Driver’s Focus of Attention: the DR(eye)VE Project. A deep neural network learnt to reproduce the human driver focus of attention (FoA) in a variety of real-world driving scenarios.

dreyeving

Learning where to attend like a human driver

driver-cognitive-behavior

Entire driver cognitive behavior involve hazard perception model, hazard recognition model, and hazard avoidance model

driver_attention_prediction

five-video-classification-methods

Code that accompanies my blog post outlining five video classification methods in Keras and TensorFlow

flownet2-pytorch

Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

flownet2-tf

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

gauss_cmac

Matlab

hopfield-network

Hopfield network implemented with Python

hopfield_network

Hopfield Network implemented with Python

keras-yolo3

A Keras implementation of YOLOv3 (Tensorflow backend)

keras-yolo4

A Keras implementation of YOLOv4 (Tensorflow backend)

lanenet-lane-detection

Unofficial implemention of lanenet model for real time lane detection using deep neural network model https://maybeshewill-cv.github.io/lanenet-lane-detection/

lotvs-dada

Driver Attention Prediction in Accidental Scenarios