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basic-yolo-keras icon basic-yolo-keras

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).

cs61b icon cs61b

Data Structures, Spring 2019

keras-gan icon keras-gan

Keras implementations of Generative Adversarial Networks.

mmdnn icon mmdnn

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

opencv icon opencv

Open Source Computer Vision Library

pytorch-xnor-net icon pytorch-xnor-net

XNOR-Net, with binary gemm and binary conv2d kernels, support both CPU and GPU.

siamese-fc icon siamese-fc

Arbitrary object tracking at 50-100 FPS with Fully Convolutional Siamese networks.

siamfc-tf icon siamfc-tf

State-of-the-art object tracking at high framerates, in TensorFlow.

ssd_keras icon ssd_keras

A Keras port of Single Shot MultiBox Detector

tensorflow icon tensorflow

An Open Source Machine Learning Framework for Everyone

tensorflow-yolov3 icon tensorflow-yolov3

🔥 pure tensorflow Implement of YOLOv3 with support to train your own dataset

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