6075 Open source projects that are alternatives of or similar to Girls In Ai

Run M Files from Python - GNU Octave to Python bridge

image processing codes to understand algorithm

AI assisted motion detection for Home Assistant

iPython notebook and Android app that shows how to build LSTM model in TensorFlow and deploy it on Android

KDD18 Tutorial: Deep Learning and Natural Language Processing with Apache MXNet (Incubating) Gluon

📚 The Open Source Education Initiative – a repository with resources for 60+ engineering subjects. Let's make education more open and accessible! 🚀✨

高速でJuliaを学ぶ入門チュートリアル

This repository walks you through how to Build and Run YOLOv4 Object Detections with Darknet in the Cloud with Google Colab.

关于淘宝“爆款”数据爬取与分析。具体分析见 —

next generation slides for Jupyter Notebooks

This is the code for "Time Series Prediction" By Siraj Raval on Youtube

Keras implementation of Human Action Recognition for the data set State Farm Distracted Driver Detection (Kaggle)

deeplearning.ai , By Andrew Ng, All slide and notebook + data + solutions and video link

I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!

网易云课堂终于官方发布了吴恩达经过授权的汉化课程-“”深度学习专项课程“”，这是自己做的一些笔记以及代码。下为网易云学习链接

NMT for chinese-english using fairseq

PyTorch for Deep Learning and Computer Vision Course

COMS W4995 Applied Machine Learning - Spring 18

PyTorch implementation of Soft Actor-Critic (SAC)

In this notebook we will explore a machine learning approach to find anomalies in stock options pricing.

蚂蚁学Python，微信公众号的代码仓库

Links to Russian corpora + Python functions for loading and parsing

U-Net implementation in Tensorflow

DataGene - Identify How Similar TS Datasets Are to One Another (by @firmai)

Face mask detection system using Deep learning.

http://nlp.seas.harvard.edu/2018/04/03/attention.html

Powerful financial charting library based on R's Quantmod | http://py-quantmod.readthedocs.io/en/latest/

This book is geared toward those who already have programming knowledge. It covers topics that include: creation of user interfaces, computer graphics, internet applications, distributed systems, among other issues.

A wrapper of the COCOeval class for extended keypoint error estimation analysis.

Implemention of FCN-8 and FCN-16 with Keras and uses CRF as post processing

Multiscale Geographically Weighted Regression (MGWR)

Proving Ground: Tools for Automated Mathematics

What about coding a Spiking Neural Network using an automatic differentiation framework? In SNNs, there is a time axis and the neural network sees data throughout time, and activation functions are instead spikes that are raised past a certain pre-activation threshold. Pre-activation values constantly fades if neurons aren't excited enough.

Magic functions for using Jupyter Notebook with Apache Spark and a variety of SQL databases.

Programs for stock prediction and evaluation

This is the code for "Ethereum Explained" by Siraj Raval on Youtube

Shifting More Attention to Video Salient Objection Detection, CVPR 2019 (Best paper finalist & Oral)

TensorFlow Implementation of the paper "End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures" and "Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths" for classifying relations

Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

Jupyter/IPython notebooks about evolutionary computation.

Keras Implementation of Neural Style Transfer from the paper "A Neural Algorithm of Artistic Style" (http://arxiv.org/abs/1508.06576) in Keras 2.0+

Python Crash Course

Jupyter notebook server extension to proxy web services.

Juliabox continues to run, but this codebase is no longer current.

Label line using matplotlib.

A pytorch implementation of MINE(Mutual Information Neural Estimation)

Multi dimensional LSTM as described in Alex Graves' Paper https://arxiv.org/pdf/0705.2011.pdf

An independent implementation of "CrowdNet: A Deep Convolutional Network for Dense Crowd Counting"

Aulas da Escola de Inteligência Artificial de São Paulo

Notebooks on how to use Distributed Evolutionary Algorithm in Python (DEAP)

QuantumBlack Matplotlib styles

Quantitative Interview Preparation Guide, updated version here ==>

Machine Learning for Finance, published by Packt

Recitation notebooks for Extended Introduction to Computer Science with Python as Tel-Aviv University

This repository contains materials for demos, tutorials, and talks by Dato Inc.