6175 Open source projects that are alternatives of or similar to Auto Reid And Others

Code and instructions for making topographic maps of planets and moons

Quantum Challenge problem sets

基于Tensorflow2的深度学习开源书籍

Materials for a short course on convex optimization.

One has no future if one couldn't teach themself.

Code for training py-faster-rcnn and py-R-FCN on multiple GPUs in caffe

[ICCV 2019] Monocular depth estimation from a single image

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

Representing research papers as vectors / latent representations.

Training Diary

python tutorial

A Simple pytorch implementation of GradCAM and GradCAM++

FaceNet for face recognition using pytorch

Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)

Scripts and code examples. Includes Spark notes, Jupyter notebook examples for Spark, Impala and Oracle.

Echo State Networks in Python

A simpler version of the self-attention layer from SAGAN, and some image classification results.

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

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

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

Advanced Machine Learning Specialization on Coursera

Veri Defteri Üzerine Kısa Notlar (www.veridefteri.com)

Tutorials for creating and using ONNX models

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

Solving NLP problems with Vowpal Wabbit: Tutorial and more

Run any standard Python code quality tool on a Jupyter Notebook

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

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

Tensorflow's Fairness Evaluation and Visualization Toolkit

A Case Study Approach to Successful Data Science Projects Using Python, Pandas, and Scikit-Learn

an numpy-based implement of PointRend

TeachOpenCADD: a teaching platform for computer-aided drug design (CADD) using open source packages and data

A very lightweight Python wrapper to the Philips Hue API

A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.

Machine Learning Tutorials in Python

统计学习方法训练营课程作业及答案，视频笔记在线阅读地址：https://relph1119.github.io/statistical-learning-method-camp

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

High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.

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

My personal notes, presentations, and notebooks on everything Deep Learning.

Deep learning infrastructure for bioinformatics

just some code snippet

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

Convolutional Neural Network for Multi-label Multi-instance Relation Extraction in Tensorflow

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).

A TensorFlow implementation of Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks (http://arxiv.org/pdf/1312.6082.pdf)

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.

Machine Learning Model for Sport Predictions (Football, Basketball, Baseball, Hockey, Soccer & Tennis)

北京邮电大学“网络搜索原理”课程资料(2019)

php wrapper for opencv

Realistic Handwriting with Tensorflow

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 👽

Solid data structure and algorithms

Keras Implementation of The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation by (Simon Jégou, Michal Drozdzal, David Vazquez, Adriana Romero, Yoshua Bengio)

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

World Models with TensorFlow 2