6253 Open source projects that are alternatives of or similar to Research2vec

Assignments and notes for the Self Driving Cars course offered by University of Toronto on Coursera

Interactive Go programming with Jupyter

Practical Time-Series Analysis, published by Packt

Visualizer for pandas data structures

An enhanced interactive Shell for Common Lisp (based on the Jupyter protocol)

First project for CVND: facial keypoint detection.

🍇 Edit and execute code snippets in the browser using Jupyter kernels

FPGA-based neural network inference project with an end-to-end approach (from training to implementation to deployment)

꼼꼼한 딥러닝 논문 리뷰와 코드 실습

深度學習課程(第四梯)所設計的課程實作

Try to reproduce FaceShifter

『PythonではじめるKaggleスタートブック』のサンプルコード・脚注・正誤表

Introduction to ML packages for the 6.86x course

General Assembly's Data Science course in Washington, DC

Pytho科学计算生态介绍的中文翻译，英文原文地址：

Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".

Contains Jupyter Notebooks of stuff I am working on.

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

Toy car that drives itself using neural networks

Advanced Machine Learning Specialization on Coursera

Implementation of the Vanilla CNN described in the paper: Yue Wu and Tal Hassner, "Facial Landmark Detection with Tweaked Convolutional Neural Networks", arXiv preprint arXiv:1511.04031, 12 Nov. 2015. See project page for more information about this project. http://www.openu.ac.il/home/hassner/projects/tcnn_landmarks/ Written by Ishay Tubi : ishay2b [at] gmail [dot] com https://www.l

Tutorials for creating and using ONNX models

A curated list of awesome Jupyter projects, libraries and resources

Solving NLP problems with Vowpal Wabbit: Tutorial and more

This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks".

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

Jupyter Notebooks with Deep Learning Tutorials

Tensorflow's Fairness Evaluation and Visualization Toolkit

an numpy-based implement of PointRend

Bu çalışma araştırmalar yaparken benzerlerine rastlayıp iyileştirerek derlemeye çalıştığım ve derin öğrenme (deep learning) konusunda kısa bir özet ve bolca kaynak yönlendirmesi olan (hatta sonunda koca bir liste var) hızlıca konuya giriş yapılabilinmesi için gereklilikleri özetlemektedir. Lütfen katkı vermekten çekinmeyin 👽

A very lightweight Python wrapper to the Philips Hue API

Official Python SDK for Hyperdash

Machine Learning Tutorials in Python

The Los Angeles Times' independent tally of coronavirus cases in California.

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

MAGIC (Markov Affinity-based Graph Imputation of Cells), is a method for imputing missing values restoring structure of large biological datasets.

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

A delightful and complete interface to GitHub's amazing API

Deep learning infrastructure for bioinformatics

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

Jupyter notebooks and code examples for my Kaggle Beginners' Guide.

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).

Code accompanying the ECCV 2020 paper "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* denotes equal contribution).

"Data Mining in Action Course", Moscow Institute of Physics and Technologies

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 is the code for "LSTM Networks - The Math of Intelligence (Week 8)" By Siraj Raval on Youtube

北京邮电大学“网络搜索原理”课程资料(2019)

💪 Rich Android Path. 🤡 Draw as you want. 🎉 Animate much as you can.

A cute multi-layer LSTM that can perform like a human 🎶

Utilities for preprocessing text for deep learning with Keras

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

lidc nodule detection with CNN and LSTM network

Progressive training of GANs with Mutual Information Penalty

An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models

Resources for the study group in IIT Guwahati focused on learning Artificial Intelligence.

quizzes/assignments for mathematics for machine learning specialization on coursera