6354 Open source projects that are alternatives of or similar to Fastprogress

Here, we will upload our deep/machine learning models and 'workflows' (such as AtomNet, DefectNet, SymmetryNet, etc) that aid in automated analysis of atomically resolved images

Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath

The code for Presence - a kinetic sculpture that detects a viewer's gaze in real-time using a neural network and moves in response to the gaze

A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.

Notes On Using Data Science & Artificial Intelligence To Fight For Something That Matters.

Various neural networks on MNIST data using TensorFlow library

MLOps examples

misc

An implementation of WaveNet with fast generation

Knowledge distillation implemented in TensorFlow

A simple Python data-structure visualization tool for lists of lists, lists, dictionaries; primarily for use in Jupyter notebooks / presentations

Scripts and utilities for processing electrophysiology data

Data Hacking Project

Repository for the Algorithms course

IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018

Resources for "Introduction to Deep Learning" course.

Documentation, data, and some source code for challenge participants.

Structured data about Panama papers collected from official ICIJ website

Miscellaneous IPython notebooks showing off plotly's features

Evaluation of the CNN design choices performance on ImageNet-2012.

Getting started with soccer analytics

PySAL: Python Spatial Analysis Library Meta-Package

Learn how to responsibly deliver value with ML.

《推荐系统实践》代码与读书笔记，在线阅读地址：https://relph1119.github.io/recommendation-system-practice-notes

The AI Application Platform We All Need. Human AND Machine Intelligence. Based on experience building AI solutions at Panasonic: robotics predictive maintenance, cold-chain energy optimization, Gigafactory battery mfg, avionics, automotive cybersecurity, and more.

IPython notebooks to do magic things with well log data

Support content for my blog

Computer vision exercise with Python and OpenCV.

Practical assignments of the Deep|Bayes summer school 2019

IPython and Jupyter in-depth Tutorial, first presented at PyCon 2012

Image Segmentation and Object Detection in Pytorch

Keras implementation of paper 'Deep Visual Attention Prediction' which predicts human eye fixation on view-free scenes.

Neural Style and MSG-Net

Persian Sentiment Analysis

Contains files related to content and project of DSND Term 2

Building the Docker image with Ansible and Jupyter.

Search inside YouTube videos using natural language

This repository contains the tools and method follow to produce code review dashboards for the Xen community

Unofficial Parallel WaveGAN (+ MelGAN & Multi-band MelGAN) with Pytorch

🍬Some papers & books I’ve read.

Shapash makes Machine Learning models transparent and understandable by everyone

- Performed stock market analysis of technology company’s stocks. - Used pandas to get stock information and to visualize different aspects of stock and performed risk analysis of the stock based on its previous performance history.

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

Introduction to Linear and Integer Programming Book

Repository containing notebooks of my posts on Medium

Intro practice session to py.test

Code, data, and instructions for mapping orbits of asteroids in the solar system

Projet de prédiction de transplantation pulmonaire en partenariat avec l'hôpital Foch

Python tools for data analysis

Project for Digital Image Processing

《深入浅出图神经网络：GNN原理解析》配套代码

Simple TF IDF Library

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

Python package for computing the Curie depth from the magnetic anomaly

Materials for a Python Beginner's Course. First given at the Royal Society of Biology. Designed and delivered by Chas Nelson and Mikolaj Kundegorski.

MachineLearningExp.com projects