5921 Open source projects that are alternatives of or similar to Vmls Companions

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

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

Deep learning for audio processing

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.

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

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Variational Adversarial Active Learning (ICCV 2019)

website

Data augmentation for NLP

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。

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

Small projects to clarify big concepts

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

Pandas tutorial for SciPy2015 and SciPy2016 conference

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

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.

A tutorial for Automatic Text Summarization using TextRank algorithm.

Geospatial data tutorial

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

Files for Udemy Course on Algorithms and Data Structures

Vim plugin for editing Jupyter ipynb files via jupytext

李航《统计学习方法》中机器学习模型的LaTeX公式笔记

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

Julia Project website

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

All For NLP, especially Chinese.

Scalable inference for a generative model of astronomical images

StarNet

Placeholder for VTube Studio

BetterNetWork4SSD

Cutout / Random Erasing implementation, especially for ImageDataGenerator in Keras

Python for chemoinformatics

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

量子コンピュータ初学者のための自習教材

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.

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

Data Structures & Algorithms Nanodegree Program from Udacity

Natural Language Processing Tutorials(NLP) with Julia and Python

Hands-on Tutorial on Automated Deep Learning

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

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)

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

Pretrained Language Models for Korean

Code for the Make Your Own Neural Network book

create sankey diagrams with matplotlib

added all materials

A Python package for heart rate variability analysis

Code release for Stereo 3D Object Detection via Shape Prior Guided Instance Disparity Estimation (CVPR 2020)

Predicting Forex Future Price with Machine Learning

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.

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