Top 5939 jupyter-notebook open source projects

🔮Getting started with TensorFlow: Classifying Text with Neural Networks

中文情感分析，CNN，BI-LSTM，文本分类

Superpoint Implemented in PyTorch: https://arxiv.org/abs/1712.07629

Epidemic Modeling for Everyone

PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning

Official Repo for Stereo Transformer: Revisiting Stereo Depth Estimation From a Sequence-to-Sequence Perspective with Transformers.

A collection of notebook to learn the Applied Predictive Modeling using Python.

A Julia package for Gaussian Processes

Tutorial on "Modern Optimization Methods in Python"

点睛 - 头条号文章标题生成工具 （Dianjing, AI to write Title for Articles）

Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.

This is the code for "Bitcoin Prediction" by Siraj Raval on Youtube

전 세계의 멋진 케라스 문서 및 튜토리얼을 한글화하여 케라스x코리아를 널리널리 이롭게합니다.

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

Stanford

A python package that includes many methods for decoding neural activity

scikit-learn wrappers for Python fastText.

Weakly Supervised Segmentation with Tensorflow. Implements instance segmentation as described in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).

Building QA system for Stanford Question Answering Dataset

Python solutions to solve practical business problems.

An easy to use VR toolkit for Oculus Quest development using the Godot game engine

《统计学习方法》（第一版）习题解答，在线阅读地址：https://datawhalechina.github.io/statistical-learning-method-solutions-manual

Python技术 公众号文章代码实例

Code and Dataset for CVPR2020 "Dynamic Refinement Network for Oriented and Densely Packed Object Detection"

🏆 A ranked list of awesome Jupyter Notebook, Hub and Lab projects (extensions, kernels, tools). Updated weekly.

Deep learning framework for wearable activity recognition based on convolutional and LSTM recurretn layers

Some practices about deep learning

Machine Learning and Deep Learning Resources

Repositório para armazenamento de código e notebooks de postagens do blog e cursos.

Exploration of methods for coloring t-SNE.

Traffic Graph Convolutional Recurrent Neural Network

SuperComputing 2017 Deep Learning Tutorial

State-of-the-Art Language Modeling and Text Classification in Hindi Language

Jupyter notebooks associated with the Algorithms for Optimization textbook

A framework for blind denoising with self-supervision.

Ray tutorials from Anyscale

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

Jupyter notebooks and other materials developed for the Columbia course APMA 4300

CARTO Python package for data scientists

Exercises for the Analysis of Knowledge Graphs

Paper: CVPR2018, Learning Rich Features for Image Manipulation Detection

CNN image style transfer 🎨.

Some code examples gathered during my Month of Julia.

从零基础开始机器学习之旅

Use the Mask RCNN for the human pose estimation

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

What scientific programmers must know about CPUs and RAM to write fast code.

Python Bootcamp docs and lectures (UC Berkeley)

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

Deep learning system course

Visual Search using Apache MXNet and gluon

Simple plotting library that wraps Matplotlib and integrated with DataFrames

Graph Convolution Network for NLP

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

Coronavirus COVID-19 (2019-nCoV) Data Repository and Dashboard for South Africa

A fast and lightweight AutoML library.

Oriented Response Networks, in CVPR 2017