5998 Open source projects that are alternatives of or similar to Deeplearning.ai Convolutional Neural Networks

Bias detection in the news. Back and front end for areyoufakenews.com

For the pandas tutorial at PyData Seattle: https://www.youtube.com/watch?v=otCriSKVV_8

Machine learning with Python tutorial at MSU Data Science 2018

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

Materials for my scikit-learn tutorial

A new test set for ImageNet

深度学习面试汇总，基本知识点的查漏补缺

Python library for interactive topic model visualization. Port of the R LDAvis package.

Research Methods for Data Science with Python

Code samples and materials to help you learn to access SAS Viya services by writing programs in Python and other open-source languages

A End to End CNN Model which predicts the steering wheel angle based on the video/image

开源人脸口罩检测模型和数据 Detect faces and determine whether people are wearing mask.

PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3

Tacotron 2 - PyTorch implementation with faster-than-realtime inference modified to enable cross lingual voice cloning.

IJulia notebooks for AA228/CS238 Decision Making Under Uncertainty course at Stanford University

Curated list of open-access databases with human structural MRI data

Introduction to Machine Learning, a series of IPython Notebook and accompanying slideshow and video

Re-implementation of the m-RNN model using TensorFLow

The repository contains code walkthroughs which introduces Deep Learning in the field of Natural Language Processing.

Detecting cinema shot types using a ResNet-50

Anomaly detection algorithm implementation in Python

Useful RadioML Examples

This is the code for "How to Generate Art - Intro to Deep Learning #8' by Siraj Raval on YouTube

Porting the R code in ISL to python. Labs and exercises

Detection of Accounting Anomalies using Deep Autoencoder Neural Networks - A lab we prepared for NVIDIA's GPU Technology Conference 2018 that will walk you through the detection of accounting anomalies using deep autoencoder neural networks. The majority of the lab content is based on Jupyter Notebook, Python and PyTorch.

Example Numba implementations of functions

Repo of simple adversarial examples on vanilla neural networks trained on MNIST

Explore and analyse your Home Assistant data

Face model to classify gender and race. Trained on LFWA+ Dataset.

A collection of all projects pertaining to different layers in the SDC software stack

machine learning

This library holds a collection of Notebooks and code examples for AWS AI Bootcamps.

UNet is a fully convolutional network(FCN) that does image segmentation. Its goal is to predict each pixel's class. It is built upon the FCN and modified in a way that it yields better segmentation in medical imaging.

Skin cancer detection project

Course notes for MIT manipulation class

《动手学深度学习》 PyTorch 版本

Source code for the book, Math for Programmers

Python package for dealing with whole slide images (.svs) for machine learning, particularly for fast prototyping. Includes patch sampling and storing using OpenSlide. Patches may be stored in LMDB, HDF5 files, or to disk. It is highly recommended to fork and download this repository so that personal customisations can be made for your work.

CapsNet (from "Dynamic Routing Between Capsules") implemented in pytorch.

AWS Certified Machine Learning - Specialty (MLS-C01)

bert-loves-chemistry: a repository of HuggingFace models applied on chemical SMILES data for drug design, chemical modelling, etc.

Materials for "Bayesian Methods for Machine Learning" Coursera MOOC

Explore and download data from Census APIs

🙄 Difficult algorithm, Simple code.

Python code examples for the feedly Machine Learning blog (https://blog.feedly.com/category/all/Machine-Learning/)

Tools for pen plotting in Python

主要展示Datawhale的组队学习计划。

Workshop to demonstrate how to apply NN based algorithms to stock market data and forecast price movements.

Satellite data processing experiments

Introductory Python Series for UC Berkeley's D-Lab

Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.

A python library for decision tree visualization and model interpretation.

Board files to build Ultra 96 PYNQ image

攻城狮之家B站视频课程课件合集2，1号仓库https://github.com/JokerJohn/bilibili_notes.git