5921 Open source projects that are alternatives of or similar to Course Python Data Science

Design-of-experiment (DOE) generator for science, engineering, and statistics

Pandas tutorial for SciPy2015 and SciPy2016 conference

Reproduction of "Model-Agnostic Meta-Learning" (MAML) and "Reptile".

A tutorial for Automatic Text Summarization using TextRank algorithm.

Tutorials for Fall 2018

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

python code for pratice

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

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

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。

A short tutorial on Elmo training (Pre trained, Training on new data, Incremental training)

Code for the paper: Fighting Fake News: Image Splice Detection via Learned Self-Consistency

homework for CS231n 2017

This Repository contains the list of various Machine and Deep Learning related projects. Related code and data files are available inside this folder. One can go through these projects to implement them in real life for specific use cases.

Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course

Predicting Forex Future Price with Machine Learning

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

Notes for machine learning

Implementation of Siamese Neural Networks built upon multihead attention mechanism for text semantic similarity task.

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.

A repo for data science related questions and answers

A tutorial on 'Soft weight-sharing for Neural Network compression' published at ICLR2017

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

Face recognition and its application as attendance system

Machine learning fundamentals lesson in interactive notebooks

Spectrograms, MFCCs, and Inversion Demo in a jupyter notebook

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

【火炉炼AI】-机器学习系列文章

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

Informal IPython experiments and tutorials. TensorFlow, machine learning/deep learning/RL, NLP applications.

Conda environment and package management extension from within Jupyter

Math formula recognition (Images to LaTeX strings)

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

A set of jupyter notebooks on pytorch functions with examples

Scalable inference for a generative model of astronomical images

Repositorio en el que se encontrarán diversos materiales, códigos, videos y ejercicios para el aprendizaje del lenguaje Python.

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

Command recognition research

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

Cutout / Random Erasing implementation, especially for ImageDataGenerator in Keras

A tutorial about Gaussian process regression

Natural Language Processing Tutorials(NLP) with Julia and Python

NBA shot charts using matplotlib, seaborn, and bokeh.

added all materials

Lectures for Udemy - Complete Python Bootcamp Course

Vim plugin for editing Jupyter ipynb files via jupytext

U-Net Biomedical Image Segmentation

AI实战-practicalAI 中文版

Google2Csv a simple google scraper that saves the results on a csv/xlsx/jsonl file

Python for engineers

Scientific analysis of nanoscale materials imaging data

An workflow in factor-based equity trading, including factor analysis and factor modeling. For well-established factor models, I implement APT model, BARRA's risk model and dynamic multi-factor model in this project.

Using Keras and cats to visualize layers from CNNs