6888 Open source projects that are alternatives of or similar to Snap N Eat

Self hosted alternative to Google Photos

A Julia package for Gaussian Processes

メディカルAIコース オンライン講義資料

Tunable U-Net implementation in PyTorch

💎 数学公式识别

Deep Learning examples with Keras.

Sohu's 2018 content recognition competition 1st solution(搜狐内容识别大赛第一名解决方案)

Bio-Computing Platform featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集

Develop production ready deep learning code, deploy it and scale it

Malware Detection and Classification Using Machine Learning

A toolkit to learn how to model and interpret regulatory sequence data using deep learning.

This is the code for "Stock Market Prediction" by Siraj Raval on Youtube

建议你使用更新的AutoLink平台

Machine Learning Ops Workshop with SageMaker: lab guides and materials.

Machine Learning notebooks for refreshing concepts.

AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

Segment-CNN: A Framework for Temporal Action Localization in Untrimmed Videos via Multi-stage CNNs

PyTorch0.4 implementation of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay

Official mirror of https://gitlab.com/lfortran/lfortran. Please submit pull requests (PR) there. Any PR sent here will be closed automatically.

Productionise your Jupyter Notebooks as easily as you wrote them.

This repo is deprecated, please use Deep Video Analytics which implements face recognition using TensorFlow and Facenet.

Ciência de Dados aplicada à pandemia do novo coronavírus.

파이썬Python 강의에 사용되는 소스코드Source Code와 강의 자료들을 모은 repository 입니다.

Data and code behind the articles and graphics at FiveThirtyEight

Pytorch implementation for LapSRN (CVPR2017)

Navigating the GAN Parameter Space for Semantic Image Editing

Superpoint Implemented in PyTorch: https://arxiv.org/abs/1712.07629

Tensorflow notes

PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning

A collection of IPython notebooks covering various topics.

A collection of notebook to learn the Applied Predictive Modeling using Python.

Based on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for employing Transformer models in text classification tasks. Contains code to easily train BERT, XLNet, RoBERTa, and XLM models for text classification.

Tutorial on "Modern Optimization Methods in Python"

Visual Question Answering Demo on pretrained model

点睛 - 头条号文章标题生成工具 （Dianjing, AI to write Title for Articles）

Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.

Example Machine Learning Scripts for Numerai's Tournament

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

This is the code for "Bitcoin Prediction" by Siraj Raval on Youtube

전 세계의 멋진 케라스 문서 및 튜토리얼을 한글화하여 케라스x코리아를 널리널리 이롭게합니다.

Create Discord server widgets for websites of all sizes! A simple to setup process for end-users. Server members may view or send messages into an embedded Discord channel.

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

Docker image with uWSGI and Nginx for Flask applications in Python running in a single container. Optionally with Alpine Linux.

A collection of various deep learning architectures, models, and tips

A Flask extension with lots of common time-savers (file-serving, favicons, etc).

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

A crash course in six episodes for software developers who want to become machine learning practitioners.

RESTful search server written in Python, powered by SQLite.

Natural Language Processing with TensorFlow, published by Packt

Stanford

A python package that includes many methods for decoding neural activity

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

Implement of Openpose use Tensorflow

scikit-learn wrappers for Python fastText.

Weakly Supervised Segmentation with Tensorflow. Implements instance segmentation as described in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).

Melusine is a high-level library for emails classification and feature extraction "dédiée aux courriels français".

Building QA system for Stanford Question Answering Dataset

Python solutions to solve practical business problems.