5921 Open source projects that are alternatives of or similar to Talks

Contains files related to content and project of DSND

Traffic Graph Convolutional Recurrent Neural Network

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Generating multiple choice questions from text using Machine Learning.

A framework for blind denoising with self-supervision.

WACV18 paper "DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification"

[ECCV'2020] STTN: Learning Joint Spatial-Temporal Transformations for Video Inpainting

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Some code examples gathered during my Month of Julia.

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Simplified implementations of deep learning related works

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Keras implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. (https://arxiv.org/abs/1810.11654).

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A Python Matplotlib, Numpy library to manage wind data, draw windrose (also known as a polar rose plot), draw probability density function and fit Weibull distribution

18.335 - Introduction to Numerical Methods course

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👩🏻‍⚕️Covid-19 estimation and forecast using statistical model; 新型冠状病毒肺炎统计模型预测 (Jan 2020)

This is the code for "Neural DIfferential Equations" By Siraj Raval on Youtube

We are building an open database of COVID-19 cases with chest X-ray or CT images.

A fast and lightweight AutoML library.

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

A clear, concise, simple yet powerful and efficient API for deep learning.

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This is an LSTM stock prediction using Tensorflow with Keras on top.

A collection of various deep learning architectures, models, and tips

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for code created as part of http://studywolf.wordpress.com

Pytorch implementation of HighRes-net, a neural network for multi-frame super-resolution, trained and tested on the European Space Agency’s Kelvin competition.

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

The BlazeFace face detector model implemented in PyTorch

A minimal Jupyter Notebook theme

🌱 Deep Learning for Instance Segmentation of Agricultural Fields - Master thesis

Decaf is DEPRECATED! Please visit http://caffe.berkeleyvision.org/ for Caffe, the new framework that has all the good things: GPU computation, full train/test scripts, native C++, and an active community!

中国象棋alpha zero程序

Tutorial for using Kitti dataset easily

《Machine Learning: A Probabilistic Perspective》（Kevin P. Murphy）中文翻译和书中算法的Python实现。

The accompanying files for the book 'Dataviz with Python and JavaScript'

《统计学习方法》的代码实现

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Implementation of "Overcoming catastrophic forgetting in neural networks" in Tensorflow

Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller

Presentation Materials for my "Sound Analysis with the Fourier Transform and Python" OSCON Talk.

Hands-On Computer Vision with TensorFlow 2, published by Packt

add statistical annotations (pvalue significance) on an existing boxplot generated by seaborn boxplot

Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.