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

MIT-6.S094: Deep Learning for Self-Driving Cars Assignments solutions

tuyển chọn các tài liệu về công nghệ bằng tiếng Việt

Intro to Deep Learning, including recurrent, convolution, and feed forward neural networks.

PyTorch tutorial for learners

A collection of materials to help you learn about deep learning

RAD: Reinforcement Learning with Augmented Data

A PyTorch implementation of OpenAI's REPTILE algorithm

A beginner-friendly project to help you in open-source contributions. Data Structures & Algorithms in various programming languages Please leave a star ⭐ to support this project! ✨

Deep Learning the Chemistry of Materials From Only Elemental Composition for Enhancing Materials Property Prediction

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

Try out deep learning models online on Google Colab

VDSR (CVPR2016) pytorch implementation

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

Deep Learning Projects that Build Themselves

Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"

TensorFlow documentation

food image to recipe with deep convolutional neural networks.

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

A day to day plan for this challenge (50 Days of Machine Learning) . Covers both theoretical and practical aspects

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

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

3-day dive into deep learning at csc

An on-line movie recommender using Spark, Python Flask, and the MovieLens dataset

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

Credit card fraud detection through logistic regression, k-means, and deep learning.

This is a tutorial for PyTorch Geometric on the YooChoose dataset

Learn OpenCV : C++ and Python Examples

CardIO is a library for data science research of heart signals

Tunable U-Net implementation in PyTorch

Deep Learning examples with Keras.

my note

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

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

Simple Implementation of many GAN models with PyTorch.

A basic JSON-RPC implementation for your Flask-powered sites

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

建议你使用更新的AutoLink平台

Wi-Fi Geolocation Spoofing with the ESP8266

Machine Learning notebooks for refreshing concepts.

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

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

Satellite Imagery Feature Detection with SpaceNet dataset using deep UNet

Convert human motion from video to .bvh

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

Official Repo for Google Cloud AI Platform

Ciência de Dados aplicada à pandemia do novo coronavírus.

Data and code behind the articles and graphics at FiveThirtyEight

A collection of tutorials on neural networks, using Theano

Official PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]

Navigating the GAN Parameter Space for Semantic Image Editing

Tensorflow notes

VQVAEs, GumbelSoftmaxes and friends

A collection of IPython notebooks covering various topics.

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.

Kaggle Struggle

Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.