JavierClearImageAI

JavierClearImageAI's Stars

• AdamByerly/BMCNNwHFCs

  The code for "No Routing Needed Between Capsules". This repository contains the code used for the experiments detailed in a forthcoming paper. The paper is available pre-published at arXiv: http://arxiv.org/abs/2001.09136

  Language:Python4510

• earthnet2021/earthnet-model-intercomparison-suite

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• lsxliron/SemiSupervisedKMeans

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• nickeleye/VGG-Image-Annotator-for-COCO-json

  Modification of VGG Image Annotator to except COCO json format for object detection

  Language:HTML1910

• chubin/wttr.in

  :partly_sunny: The right way to check the weather

  Language:Python24k1.1k

• ku1ik/vim-monokai

  Monokai color scheme for Vim converted from Textmate theme

  Language:Vim script1.4k593

• c0decracker/video-splitter

  Simple Python script to split video into equal length chunks or chunks of equal size, duration, etc.

  Language:Python449152

• TrojanXu/yolov5-tensorrt

  A tensorrt implementation of yolov5: https://github.com/ultralytics/yolov5

  Language:Python19146

• ssaru/convert2Yolo

  This project purpose is convert voc annotation xml file to yolo-darknet training file format

  Language:Python457183

• fchollet/deep-learning-with-python-notebooks

  Jupyter notebooks for the code samples of the book "Deep Learning with Python"

  Language:Jupyter Notebook17.9k8.5k

• andreiliphd/pytorch-pneumonia-x-ray

  Deep learning medical analysis of x-ray shots on pneumonia using PyTorch.

  Language:Jupyter Notebook31

• Bjarten/early-stopping-pytorch

  Early stopping for PyTorch

  Language:Jupyter Notebook1.2k294

• lukemelas/EfficientNet-PyTorch

  A PyTorch implementation of EfficientNet

  Language:Python7.8k1.5k

• microsoft/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.

  Language:Python5.8k968

• megvii-model/DetNAS

  Language:Python29150

• tusen-ai/simpledet

  A Simple and Versatile Framework for Object Detection and Instance Recognition

  Language:Python3.1k486

• onnx/models

  A collection of pre-trained, state-of-the-art models in the ONNX format

  Language:Jupyter Notebook7.5k1.4k

• gforsyth/numba_tutorial_scipy2017

  Language:Jupyter Notebook14251

• fizyr/keras-retinanet

  Keras implementation of RetinaNet object detection.

  Language:Python4.4k2k

• LearnTechWithUs/Stereo-Vision

  This program has been developed as part of a project at the University of Karlsruhe in Germany. The final purpose of the algorithm is to measure the distance to an object by combining two webcams and use them as a Stereo Camera.

  Language:Python345114

• ageron/handson-ml2

  A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

  Language:Jupyter Notebook27.3k12.6k

• dvrg/machine-learning-for-learning-resources

  This ebook from Jason Brownlee. Educational perpose only! Thanks to Jason for the books.

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• janishar/mit-deep-learning-book-pdf

  MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

  Language:Java12.5k2.7k

• bayesian-optimization/BayesianOptimization

  A Python implementation of global optimization with gaussian processes.

  Language:Python7.6k1.5k

• matterport/Mask_RCNN

  Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

  Language:Python24.3k11.6k

• dsgissin/DiscriminativeActiveLearning

  Code and website for DAL (Discriminative Active Learning) - a new active learning algorithm for neural networks in the batch setting. For the blog:

  Language:Python19956

• keras-team/keras-tuner

  A Hyperparameter Tuning Library for Keras

  Language:Python2.8k389

• carolinepacheco/convert-yolo-to-pascalvoc

  A python script to convert COCO into Pascal VOC 2012 format

  Language:Python9929

• abhijeet3922/Change-Detection-in-Satellite-Imagery

  It employes Principal Component Analysis (PCA) and K-means clustering techniques over difference image to detect changes in multi temporal images satellite imagery.

  Language:Python15466

• vbhavank/Unstructured-change-detection-using-CNN

  Unstructured Change detection in satellite imagery

  Language:Python6027