6761 Open source projects that are alternatives of or similar to Jupyter Server Proxy

This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.

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.

Open source notebooks to create state-of-the-art detection, segmentation, & classification of buildings on drone/aerial imagery with deep learning

Quickly ingest messy CSV and XLS files. Export to clean pandas, SQL, parquet

Here lies all the exercises I implement and share in my website

Data Structures & Algorithms Nanodegree Program from Udacity

Small projects to clarify big concepts

The Annotated Encoder Decoder with Attention

Repositório do Deep Learning Book - www.deeplearningbook.com.br

Introduction to Deep Learning for Image Recognition

Hands-on Tutorial on Automated Deep Learning

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

This is a repository about PCB defect detection.

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

Semi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation Challenge.

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

Variational Adversarial Active Learning (ICCV 2019)

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

一些爬虫的代码

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)

代码记录

Updated repository

Pretrained Language Models for Korean

Geospatial data tutorial

📖 Worked Solutions of "Data Structures & Algorithms in Python", written by Michael T. Goodrich, Roberto Tamassia and Michael H. Goldwasser. ✏️

create sankey diagrams with matplotlib

Data augmentation for NLP

Important paper implementations for Question Answering using PyTorch

Mish Deep Learning Activation Function for PyTorch / FastAI

I used Machine Learning to make a Logistic Regression model using scikit-learn, pandas, numpy, seaborn and matplotlib to predict the results of FIFA 2018 World Cup.

SciPy 2017 Pandas Tutorial

Files for Udemy Course on Algorithms and Data Structures

Sequential regulatory activity predictions with deep convolutional neural networks.

Comparison tools

MicaSense RedEdge and Altum image processing tutorials

Reading notes on the excellent "Designing Data-Intensive Applications"

IPython widgets, interactive plots, interactive machine learning

A tour through recommendation algorithms in python [IN PROGRESS]

Deep Learning Application Examples

Pop Music Maker built on HMM and Random Forest-like structure. Inspired by the desire to build my own model can serve as alternative to LSTMs / deep learning in generating pop music. Website is currently down due to costs incurred.

Arabic root finder with neural nets!

python100天学习资料

SphereFace+ Implementation for <Learning towards Minimum Hyperspherical Energy> in NIPS'18.

How to do Real Time Trigger Word Detection with Keras | DLology

ICR - Automated and Intelligent Company Report Built in Python (by @firmai)

Audio Denoising with Deep Network Priors

Deep Learning Specialization courses by Andrew Ng, deeplearning.ai

Benchmarking different approaches for categorical encoding for tabular data

How to create custom COCO data set for object detection

To make it easy to benchmark AI accelerators

Jupyter Notebooks used on my DataScience projects

WebAssembly for Proxies (Rust SDK)

This project is trying to fetch real time balance & orderbook of ETH and visualise using dash

Exercises and supplementary material for the deep learning course 02456 using PyTorch.

Examples that illustrate how nbconvert can be used