6108 Open source projects that are alternatives of or similar to Nbval

pytorch 包教不包会

[ICCV 2019, Oral] Controllable Artistic Text Style Transfer via Shape-Matching GAN

TorchXRayVision: A library of chest X-ray datasets and models.

仅使用numpy从头开始实现神经网络,包括反向传播公式推导过程; numpy构建全连接层、卷积层、池化层、Flatten层；以及图像分类案例及精调网络案例等,持续更新中... ...

Broccoli - distributed task queues for ESP32 cluster

天池医疗AI大赛[第一季]：肺部结节智能诊断 UNet/VGG/Inception/ResNet/DenseNet

Pretrained bag-of-local-features neural networks

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Several simple music synthesizers in Python 3. Input from ABC or MIDI files is also supported.

[ICCV19] AdaptIS: Adaptive Instance Selection Network, https://arxiv.org/abs/1909.07829

Python code for common Machine Learning Algorithms

PyTorch1.x tutorials, examples and some books I found 【不定期更新】整理的PyTorch 1.x 最新版教程、例子和书籍

various cv tools, such as label tools, data augmentation, label conversion, etc.

Материалы курса Deep Learning на пальцах

Sparse Variational Dropout, ICML 2017

Code for "Fast and Robust Multi-Person 3D Pose Estimation from Multiple Views" in CVPR'19

Style Transfer as Optimal Transport

Accelerating Deep Learning with Multiprocess Image Augmentation in Keras

Master in Data Science Final Project

Convolutional neural networks for artistic style transfer.

An easy to use Natural Language Processing library and framework for predicting, training, fine-tuning, and serving up state-of-the-art NLP models.

Set of real world data science tasks completed using the Python Pandas library

Unrolled Generative Adversarial Networks

Using approximate bayesian posteriors in deep nets for active learning

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

Graph Convolutional Networks for Temporal Action Localization (ICCV2019)

PyTorch implementation of "Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning"

my machine-learning tutorial

apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models quickly. See the documentation page: https://apricot-select.readthedocs.io/en/latest/index.html

Simple chat program that communicates using inaudible sounds

Code related to blog posts on my Medium page

Tutorial Materials for ICCV19

Edit your Jupyter notebooks in Vim/Neovim

Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.

This is a kaggle challenge project called Display Advertising Challenge by CriteoLabs at 2014.这是2014年由CriteoLabs在kaggle上发起的广告点击率预估挑战项目。

Tutorial on GANs

Trading with recurrent actor-critic reinforcement learning

A series of Jupyter notebooks and python files which stream audio from a microphone using pyaudio, then processes it.

A simple tool for generating useful evaluation metrics and plots for machine learning models

Covid-19 Twitter dataset for non-commercial research use and pre-processing scripts - under active development

Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow

Reimplementation of DRAW

Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.

A strategy for tennis matches betting

Tutorial: Natural Language Processing in Python

The materials for the course MTH 594 Advanced data mining: theory and applications (Dmitry Efimov, American University of Sharjah)

Applying Reinforcement Learning in Quantitative Trading

DeepSurv is a deep learning approach to survival analysis.

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

Code for the Deep Learning with PyTorch lesson

The code of book: Python Scraping

A Bokeh project developed for learning and teaching Bokeh interactive plotting!

Using pandas for Better (and Worse) Data Science

Generative Query Network (GQN) in PyTorch as described in "Neural Scene Representation and Rendering"

阿水的数据竞赛开源分支

Repository for the tutorial on Sequence-Aware Recommender Systems held at TheWebConf 2019 and ACM RecSys 2018

All of our computational notebooks

Data Augmentation by Backtranslation (DAB) ヽ( •_-)ᕗ