6802 Open source projects that are alternatives of or similar to Vitech

PyTorch tutorial for learners

Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info

Pytorch implementation of the DeepDream computer vision algorithm

Learn OpenCV : C++ and Python Examples

Visual Attribute Transfer through Deep Image Analogy in PyTorch!

A collection of materials to help you learn about deep learning

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

Deep Learning Projects that Build Themselves

Kind PyTorch Tutorial for beginners

Github repo with tutorials to fine tune transformers for diff NLP tasks

Early stopping for PyTorch

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes

This is an open sourced book on deep learning.

Multiple implementations for abstractive text summurization , using google colab

An open source library for deep learning end-to-end dialog systems and chatbots.

Code, exercises and tutorials of my personal blog ! 📝

A collection of reference machine learning and optimization models for enterprise operations: marketing, pricing, supply chain

TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques

The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)

Neural Style and MSG-Net

Implementing Siamese networks with a contrastive loss for similarity learning

https://arxiv.org/abs/1707.00836

A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.

DeepFake Detection: Detect the video is fake or not using InceptionResNetV2.

🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo

AIOpen是一个按人工智能三要素（数据、算法、算力）进行AI开源项目分类的汇集项目，项目致力于跟踪目前人工智能（AI）的深度学习（DL）开源项目，并尽可能地罗列目前的开源项目，同时加入了一些曾经研究过的代码。通过这些开源项目，使初次接触AI的人们对人工智能（深度学习）有更清晰和更全面的了解。

AI for everyone! 🎉 Neural networks, tools and a library we use in Supervisely

Action recognition using soft attention based deep recurrent neural networks

VDSR (CVPR2016) pytorch implementation

Keras tutorial for beginners (using TF backend)

最近在学习机器学习，深度学习，自然语言处理，统计学习方法等知识，理论学习主要根据readme的链接，在学习理论的同时，决定自己将学习的相关算法用Python实现一遍，并结合GitHub上相关大牛的代码进行改进，本项目会不断的更新相关算法，欢迎star，fork和关注。 主要包括： 1.吴恩达Andrew Ng老师的机器学习课程作业个人笔记 Python实现， 2.deeplearning.ai（吴恩达老师的深度学习课程笔记及资源） Python实现， 3.李航《统计学习方法》 Python代码实现， 4.自然语言处理NLP 牛津大学xDeepMind Python代码实现， 5.LeetCode刷题，题析，分析心得笔记 Java和Python代码实现， 6.TensorFlow人工智能实践代码笔记 北京大学曹健老师课程和TensorFlow：实战Google深度学习框架（第二版） Python代码实现， 附带一些个人心得和笔记。GitHub上有很多机器学习课程的代码资源，我也准备自己实现一下，后续会更新笔记，代码和百度云网盘链接。 这个项目主要是学习算法的，并且会不断更新相关资源和代码，欢迎关注，star，fork！ Min's blog 欢迎访问我的博客主页！ (Welcome to my blog website !)https://liweimin1996.github.io/

🔥机器学习/深度学习/Python/算法面试/自然语言处理教程/剑指offer/machine learning/deeplearning/Python/Algorithm interview/NLP Tutorial

Transformer of "Attention Is All You Need" (Vaswani et al. 2017) by Chainer.

Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101

本仓库将PyTorch官方书籍《Deep learning with PyTorch》（基本摘录版）翻译成中文版并给出可运行的相关代码。

Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/

TensorFlow documentation

Food Classification with Deep Learning in Keras / Tensorflow

Fabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning Platform offering TensorFlow, Caffe, PyTorch etc. as a Service on Kubernetes

머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

Readable implementation of a Capsule Network as described in "Dynamic Routing Between Capsules" [Hinton et. al.]

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

3-day dive into deep learning at csc

List of papers, code and experiments using deep learning for time series forecasting

Machine learning discord bot , Detects diseases within seconds with just an xray scan

Pruning and other network surgery for trained TF.Keras models.

Unofficial implementation of "Image Inpainting for Irregular Holes Using Partial Convolutions". Try at: www.fixmyphoto.ai

IEEE "Invited Talk on Deep Learning" 03/02/2018

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning

Service Classification based on Service Description

This repository stores the files used for my summer internship's work on "teacher-student learning", an experimental method for training deep neural networks using a trained teacher model.

Try out deep learning models online on Google Colab

Lets Learn AI

We pit Keras and PyTorch against each other, showing their strengths and weaknesses in action. We present a real problem, a matter of life-and-death: distinguishing Aliens from Predators!

Application of machine learning to the Coinbase (GDAX) orderbook