5921 Open source projects that are alternatives of or similar to Eeap Examples

[ICCV 2019] Monocular depth estimation from a single image

Surrogate Modeling Toolbox

This repository contains the lecture materials for EECS 545, a graduate course in Machine Learning, at the University of Michigan, Ann Arbor.

AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

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Tutorial on normalizing flows.

A Simple pytorch implementation of GradCAM and GradCAM++

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Echo State Networks in Python

This repo is deprecated, please use Deep Video Analytics which implements face recognition using TensorFlow and Facenet.

A complete catalog of all the players in Fifa 18 and their complete statistics.

파이썬Python 강의에 사용되는 소스코드Source Code와 강의 자료들을 모은 repository 입니다.

Advanced Machine Learning Specialization on Coursera

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Solving NLP problems with Vowpal Wabbit: Tutorial and more

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書籍「つくりながら学ぶ！深層強化学習」のサポートリポジトリです

Epidemic Modeling for Everyone

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an numpy-based implement of PointRend

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A very lightweight Python wrapper to the Philips Hue API

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中文文本错别字检测以及自动纠错 / Autochecker & autocorrecter for chinese

Survival analsyis and time-to-failure predictive modeling using Weibull distributions and Recurrent Neural Networks in Keras

点睛 - 头条号文章标题生成工具 （Dianjing, AI to write Title for Articles）

Deep learning infrastructure for bioinformatics

A machine learning project. Turn on your webcam. Mona Lisa's eyes will follow you around.

Material for the tutorial: "Deep Diving into GANs: from theory to production"

This is the code for "Bitcoin Prediction" by Siraj Raval on Youtube

Python is a multi-paradigm programming language. Meaning, it supports different programming approach. One of the popular approach to solve a programming problem is by creating objects. This is known as Object-Oriented Programming (OOP).

Approximating Wasserstein distances with PyTorch

This Jupyter Notebook will help you downloading Coursera videos, subtitles and quizzes (but not answering the quiz). It will automatically download and convert vtt subtitle files into srt. All resources downloaded are numbered according to their sequence.

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

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How to use ELMo embeddings in Keras with Tensorflow Hub

MLSS 2018 Madrid lecture materials on Generative Adversarial Networks (GANs)

Stanford

Progressive training of GANs with Mutual Information Penalty

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scikit-learn wrappers for Python fastText.

a framework for training sequence-level deep learning networks

Global shoreline mapping tool from satellite imagery

This course covers how you can use NLP to do stuff.

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Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

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Seed, Expand, Constrain: Three Principles for Weakly-Supervised Image Segmentation