6669 Open source projects that are alternatives of or similar to Taco

Some practices about deep learning

The accompanying files for the book 'Dataviz with Python and JavaScript'

Repositório para armazenamento de código e notebooks de postagens do blog e cursos.

WACV18 paper "DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification"

Traffic Graph Convolutional Recurrent Neural Network

Compared performance of KNN, SVM, BPNN, CNN, Transfer Learning (retrain on Inception v3) on image classification problem. CNN is implemented with TensorFlow

State-of-the-Art Language Modeling and Text Classification in Hindi Language

Python 入门爬虫和数据分析实战

A framework for blind denoising with self-supervision.

Simple Implementation of many GAN models with PyTorch.

[ECCV'2020] STTN: Learning Joint Spatial-Temporal Transformations for Video Inpainting

TensorFlow JS models for MIRNet for low-light image enhancement.

Jupyter notebooks and other materials developed for the Columbia course APMA 4300

🚗 the collection of vehicle re-ID papers, datasets. 🚗

Create fake data in R

Convert existing soccer event stream data to SPADL and value player actions

A scratch implementation of Convolutional Neural Network in Python using only numpy and validated over CIFAR-10 & MNIST Dataset

A collection of tutorials on neural networks, using Theano

Paper: CVPR2018, Learning Rich Features for Image Manipulation Detection

Bayesian neural network using Pyro and PyTorch on MNIST dataset

Some code examples gathered during my Month of Julia.

18.S096 three-week course at MIT

Simplified implementations of deep learning related works

D2Det: Towards High Quality Object Detection and Instance Segmentation (CVPR2020)

Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).

Tools for generating mini-ImageNet dataset and processing batches

Udemy Derin Öğrenmeye Giriş Kursunun Uygulamaları ve Daha Fazlası

A simple pytorch implementation of CenterNet (Objects as Points)

Pytorch implementation of set transformer

What scientific programmers must know about CPUs and RAM to write fast code.

my blog

A Python Matplotlib, Numpy library to manage wind data, draw windrose (also known as a polar rose plot), draw probability density function and fit Weibull distribution

Get hourly meteorological data from one of thousands of global stations

KoBERT와 CRF로 만든 한국어 개체명인식기 (BERT+CRF based Named Entity Recognition model for Korean)

Visual Search using Apache MXNet and gluon

Accelerated deep learning R&D

Graph Convolution Network for NLP

Surrogate Modeling Toolbox

机器学习算法 基于西瓜书以及《统计学习方法》，当然包括DL。

A library for debugging/inspecting machine learning classifiers and explaining their predictions

PyTorch Implementation of Focal Loss and Lovasz-Softmax Loss

Oriented Response Networks, in CVPR 2017

构建医疗实体识别的模型，包含词典和语料标注，基于python构建

Data Engineering on Google Cloud Platform

VQVAEs, GumbelSoftmaxes and friends

An automatic beatmap generator using Tensorflow / Deep Learning.

computational zoom from raw sensor data

Pytorch implementation of HighRes-net, a neural network for multi-frame super-resolution, trained and tested on the European Space Agency’s Kelvin competition.

Open Content for self-directed learning in data science

[ECCV'20] Structured3D: A Large Photo-realistic Dataset for Structured 3D Modeling

A collection of IPython notebooks covering various topics.

This something about deep learning on Coursera by Andrew Ng

Implementation of Statistical Learning Method, Second Edition.《统计学习方法》第二版，算法实现。

Visual Question Answering Demo on pretrained model

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

朱小五写文章涉及到的数据分析，爬虫，源数据

A sample code of data augmentation methods for wearable sensor data (time-series data)

Natural Language Processing with TensorFlow, published by Packt