6005 Open source projects that are alternatives of or similar to Gator

Tools for diffing and merging of Jupyter notebooks.

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

Spit shine for Jupyter notebooks 🧽✨

Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts

A curated list of awesome Jupyter projects, libraries and resources

Renderers and renderer extensions for JupyterLab

Coding assistance for JupyterLab (code navigation + hover suggestions + linters + autocompletion + rename) using Language Server Protocol

website

主要是爬虫与数据分析项目总结，外加建模与机器学习，模型的评估。

Small projects to clarify big concepts

[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow

torchtext使用总结，从零开始逐步实现了torchtext文本预处理过程，包括截断补长，词表构建，使用预训练词向量，构建可用于PyTorch的可迭代数据等步骤。并结合Pytorch实现LSTM.

The Raspberry Turk is a robot that can play chess—it's entirely open source, based on Raspberry Pi, and inspired by the 18th century chess playing machine, the Mechanical Turk.

Predicting Forex Future Price with Machine Learning

Repository for sharing the knowledge from the learning path of Kaggle Learning. All contributions welcome :).

Understanding ML and deep learning through geometry

CCF-BDCI 2018年汽车行业用户观点主题及情感识别挑战赛 第6名解决方案

基于深度学习的驾驶员状态检测，不仅仅可以识别出疲劳驾驶，还能够识别出各种各样的状态

KDD Cup 2020 Challenges for Modern E-Commerce Platform: Multimodalities Recall first place

Official implementation of the Averaged Gradient Episodic Memory (A-GEM) in Tensorflow

Solutions and comments to assignments for 2019 Stanford's course on convolutional neural networks

Deep learning for audio processing

A set of notebooks explaining swift for tensorflow optimized to run in Google Collaboratory.

Variational Adversarial Active Learning (ICCV 2019)

A Python package for heart rate variability analysis

added all materials

An application that provides personalized career and job search advice to jobseekers.

Tutorial for pycaffe, the Python API to the Neural Network framework, Caffe

李航《统计学习方法》中机器学习模型的LaTeX公式笔记

Vim plugin for editing Jupyter ipynb files via jupytext

Julia Project website

All For NLP, especially Chinese.

Lacmus is a cross-platform application that helps to find people who are lost in the forest using computer vision and neural networks.

StarNet

A PyTorch implementation of Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks (http://arxiv.org/pdf/1312.6082.pdf)

BetterNetWork4SSD

Placeholder for VTube Studio

Python for chemoinformatics

These are companion notebooks written in Julia and Python for: "Introduction to Applied Linear Algebra" by Boyd and Vandenberghe.

量子コンピュータ初学者のための自習教材

Open Sourced Curriculum and Lessons for an Introductory AI/ML Course

This book serves as an introduction to a whole new way of thinking systematically about geographic data, using geographical analysis and computation to unlock new insights hidden within data.

Cutout / Random Erasing implementation, especially for ImageDataGenerator in Keras

Data Structures & Algorithms Nanodegree Program from Udacity

A collection of Jupyter notebooks for learning Python from the ground up.

Scalable inference for a generative model of astronomical images

Hands-on Tutorial on Automated Deep Learning

Notes for machine learning

Collection of jupyter notebooks for demonstrating software.

A repository to keep track of all the code that I end up writing for my blog posts.

In computer science, a data structure is a data organization, management, and storage format that enables efficient access and modification. More precisely, a data structure is a collection of data values, the relationships among them, and the functions or operations that can be applied to the data. (Using Python 3)

Probability and Statistics Using Python Data Science Masters Course at UCSD (DSE 210)

Pretrained Language Models for Korean

Natural Language Processing Tutorials(NLP) with Julia and Python

Geospatial data tutorial