6277 Open source projects that are alternatives of or similar to Asap

Office Automation by Using Pythonf (For Excel, Word, PPT and PDF .....)

Lightweight non-uniform Fast Fourier Transform in Python

Tutorials for Fall 2018

Docker images for dask

Implementation code for the paper "Generating Natural Language Adversarial Examples"

🎁 3,000,000+ Unsplash images made available for research and machine learning

Introduction to Deep Learning for Image Recognition

PyTorch Python Neural Network Autonomous 1/10 Car for Nvidia Jetson Nano

Tricks for Colab power users

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

Zero Infrastructure Password Cracking

本项目对中文版《动手学深度学习》中的代码进行了PyTorch实现并整理为PDF版本供下载

Surrogate Optimization Toolbox for Python

一些爬虫的代码

换一种姿势找合适的工作

CS579: Online Social Network Analysis at the Illinois Institute of Technology

python_for_data_science

PyTorch implementation of SLAYER for training Spiking Neural Networks

Tensorflow implementation of a Hierarchical and Multiscale RNN, described in https://arxiv.org/abs/1609.01704

A repo for data science related questions and answers

A small package to create visualizations of PyTorch execution graphs

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

Hiding Images within other images using Deep Learning

Using Keras and cats to visualize layers from CNNs

Reproduce CheXNet

Notebooks for upcoming fastai book (draft / incomplete)

PyTorch 101 series covering everything from the basic building blocks all the way to building custom architectures.

Sequential regulatory activity predictions with deep convolutional neural networks.

쏘카 데이터 그룹 사내 신입/인턴을 대상으로 한 카일 스쿨

Extending broom for time series forecasting

Physical Optics Propagation in Python

Project analyzes Amazon Stock data using Python. Feature Extraction is performed and ARIMA and Fourier series models are made. LSTM is used with multiple features to predict stock prices and then sentimental analysis is performed using news and reddit sentiments. GANs are used to predict stock data too where Amazon data is taken from an API as Generator and CNNs are used as discriminator.

experiments and snippets used on the blog

Code for the book Deep Learning From Scratch, from O'Reilly September 2019

SF Brigade's Data Science Working Group.

List of OpenCV projects to further increase the computer vision community. Coding in Python & C++(In progress).

This is a tensorflow re-implementation of Faster R-CNN: Towards Real-Time ObjectDetection with Region Proposal Networks.

Enterprise Jupyter notebook sharing and collaboration app

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

Repo of Files for Python Narrative Journey Course

Conda environment and package management extension from within Jupyter

deeplearning.ai , By Andrew Ng, All slide and notebook + code and some material.

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

Low-Cost Open Source Ventilator or PAPR

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

Introduction to Python for Data Science for PyCon 2018

Home assignments for data science positions

Adaptive crawler which uses Reinforcement Learning methods

Pretrained Language Models for Korean

Geospatial data tutorial

All the ML algorithms, ML models are coded from scratch by pure Python/Numpy with the Math under the hood. It works well on CPU.

Modification of fast.ai deep learning course notebooks for usage with Keras 2 and Python 3.

This tutorial's purpose is to introduce people to the [2019 Novel Coronavirus COVID-19 (2019-nCoV) Data Repository by Johns Hopkins CSSE](https://github.com/CSSEGISandData/COVID-19) and how to explore it using some foundational packages in the Scientific Python Data Science stack.