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caffe-yolov3

A real-time object detection framework of Yolov3 based on caffe

centernet

Codes for our paper "CenterNet: Keypoint Triplets for Object Detection" .

centernet-1

Object detection, 3D detection, and pose estimation using center point detection:

deeplearning

keras-retinanet

Keras implementation of RetinaNet object detection.

kill-the-bits

Code for: "And the bit goes down: Revisiting the quantization of neural networks"

mhgan

Metropolis-Hastings GAN in Tensorflow for enhanced generator sampling

models

Models and examples built with TensorFlow

my_tensorflow

The code on deep learning.

resnet-imagenet-caffe

train resnet on imagenet from scratch with caffe

sample-videoanalysiscar

Codes for video analysis

stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

tensorflow-tensorrt

This repository is for my YT video series about optimizing a Tensorflow deep learning model using TensorRT. We demonstrate optimizing LeNet-like model and YOLOv3 model, and get 3.7x and 1.5x faster for the former and the latter, respectively, compared to the original models.