5998 Open source projects that are alternatives of or similar to Coursera Ml Using Matlab Python

H2O.ai Machine Learning Interpretability Resources

Simple XLNet implementation with Pytorch Wrapper

Light-weight Single Person Pose Estimator

Domain-Adversarial Neural Network in Tensorflow

Multi Task Vision and Language

Code base for the Learning PySpark book (in preparation)

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

A PyTorch based library for all things neural differential equations

开发 bilibili 网站爬虫，大数据分析研究

A few notebooks about deep learning in pytorch

End to end detection in crowded scenes

A self driving toy car using end-to-end learning

Code to compute permutation and drop-column importances in Python scikit-learn models

A tutorial on the most important features and idioms of Scala that you need to use Spark's Scala APIs.

Materials for MIT 6.S083 / 18.S190: Computational thinking with Julia + application to the COVID-19 pandemic

Medical Q&A with Deep Language Models

This is a Torch implementation of ["Deep Residual Learning for Image Recognition",Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun](http://arxiv.org/abs/1512.03385) the winners of the 2015 ILSVRC and COCO challenges.

Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)

【运筹OR帷幄|数据科学】pandas教程系列电子书

文本情感分析

Enabling journalists, citizen scientists, humanitarian workers and others to detect “patterns of interest” in satellite imagery.

A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.

主要存储Datawhale组队学习中“数据挖掘/机器学习”方向的资料。

斯坦福 cs231n 作业代码实践

This is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS)

进入编程世界的第一课

Code for some of my tutorials

Code and associated files for the AI Programming with Python Nanodegree Program

Notebooks for learning deep learning

A simple probabilistic programming language.

STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)

follow me and learn python easily

Reinforcement Learning Algorithm Package & PuckWorld, GridWorld Gym environments

📔 在学院的书架上发现了一本不带脑子就能看懂的书《Python数据挖掘与实战》

I am a full-stack engineer for AI projects, glad to share my experience. pratices make the top engineer.

Digital Signal Processing - Theory and Computational Examples

Optical Flow Prediction with TensorFlow. Implements "PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume," by Deqing Sun et al. (CVPR 2018)

Apache Airflow tutorial

Generator Bootcamp Material: Learn Chisel the Right Way

a tensorflow implementation of WGAN

A university quantum algorithms/computation course supplement based on Qiskit

Feature Pyramid Networks for Object Detection

Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition

The goal of this library is to generate more helpful exception messages for numpy/pytorch matrix algebra expressions.

OCR software for recognition of handwritten text

Some ipython notebooks implementing AI algorithms

Coursera Open Courses from University of Toronto

Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course

SQL Server Workshops

Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains

Develop Dash apps in the Jupyter Notebook and JupyterLab

Public runnable examples of using John Snow Labs' NLP for Apache Spark.

Machine learning for transportation data imputation and prediction.

Predict Cryptocurrency Price with Deep Learning

Neural Turing Machines (NTM) - PyTorch Implementation

This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.