5921 Open source projects that are alternatives of or similar to Spring2019_tutorials

My IPython Notebooks

Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal

A collection of materials to help you learn about deep learning

Python implementation of frequent subgraph mining algorithm gSpan. Directed graphs are supported.

A Chinese translation of Jake Vanderplas' "Python Data Science Handbook". 《Python数据科学手册》在线Jupyter notebook中文翻译

Real-Time Object Pose Estimation with Pose Interpreter Networks (IROS 2018)

Examples on how to use the alpha vantage library

Introductory Python Series for UC Berkeley's D-Lab

Master gradient-based machine learning. Also secretly a JAX course in disguise!

FMA: A Dataset For Music Analysis

Library of Stan Models for Survival Analysis

Code repository for Advanced Machine Learning with Python, published by Packt

Yet another black-box optimization library for Python

This is the code for the "How to Make an Image Classifier" - Intro to Deep Learning #6 by Siraj Raval on Youtube

This is the code for "K-Means Clustering - The Math of Intelligence (Week 3)" By SIraj Raval on Youtube

Docker file for building Gen and Jupyter notebooks for tutorials and case studies

INACTIVE - please go to https://gitlab.com/juliensimon/dlnotebooks

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

Machine Learning Toolkit for SEO

Face ID recognition with medical masks

Advanced Deep Learning with Python

Course materials and handouts for #100DaysOfCode in Python course

Fined grained classification On Car dataset

A webhook listener and database schema for doing geospatial analysis and advanced analytics on Pokemon Go data.

Discuss requirments and develop code for #1-mvp-vbacc MVP (see also this channel on ossdc.org Slack)

Montréal Deep Learning Summer School 2016 material

主要展示Datawhale的组队学习计划。

Deep Neural Decision Trees

Source code for 'Practical Machine Learning with Python' by Dipanjan Sarkar, Raghav Bali, and Tushar Sharma

Jupyter notebooks demonstrating the utilization of open-source codes for the study of materials science.

AWS Certified Machine Learning - Specialty (MLS-C01)

A Box detection algorithm for any image containing boxes.

机器学习、深度学习、自然语言处理、计算机视觉等AI领域相关技术的算法推导及应用

Satellite data processing experiments

Neural networks from scratch

Collection of workshops to demonstrate best practices in using Amazon EC2 Spot Instances. https://aws.amazon.com/ec2/spot/

Google Earth Engine implementation of the LandTrendr spectral-temporal segmentation algorithm. For documentation see:

Course notes for MIT manipulation class

implementation of PersonLab(https://arxiv.org/abs/1803.08225) using TF-slim

Facial Expression Recognition with a deep neural network as a PyPI package

Activities and exercises for the Part IA computing course in Michaelmas Term

Tutorials on using JuMP for mathematical optimization in Julia

Essential and Fundametal aspects of Natural Language Processing with hands-on examples and case-studies

Deep Declarative Networks

Explore and download data from Census APIs

This is the PyTorch implementation of paper Real-time Facial Surface Geometry from Monocular Video on Mobile GPUs (https://arxiv.org/pdf/1907.06724.pdf)

A collection of work related to COVID-19

This repository hosts code for my Time Series videos part of playlist here - https://www.youtube.com/playlist?list=PL3N9eeOlCrP5cK0QRQxeJd6GrQvhAtpBK

An Introduction to Statistical Learning with Applications in PYTHON

Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info

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.

《动手学深度学习》 PyTorch 版本

🙄 Difficult algorithm, Simple code.

Deep Markov Models

100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)