1667 Open source projects that are alternatives of or similar to Data Science Bowl 2018

Data augmentation for NLP, presented at EMNLP 2019

Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation

Code for National Data Science Bowl. 10th place.

Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving

Tools for MRI mouse brain morphometry

Tensorflow-based CNN+LSTM trained with CTC-loss for OCR

A collection of notebooks of my Machine Learning class written in python 3

alfred-py: A deep learning utility library for **human**, more detail about the usage of lib to: https://zhuanlan.zhihu.com/p/341446046

This classifier use Convolution Neural Network approch for kaggle problem to classify Cat vs Dog images.

implement the paper" Very Deep Convolutional Networks for Natural Language Processing"(https://arxiv.org/abs/1606.01781 ) in tensorflow

Deep Convolutional Neural Networks for Musical Source Separation

Image Test Time Augmentation with PyTorch!

Health Check ✔ is a Machine Learning Web Application made using Flask that can predict mainly three diseases i.e. Diabetes, Heart Disease, and Cancer.

All about Neural Networks!

An unofficial and partial Keras implementation of "Noise2Noise: Learning Image Restoration without Clean Data"

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

PyTorch reimplementation of Interactive Deep Colorization

🚖 Object Detection (YOLOv1) implentation in tensorflow, with training, testing and video features.

D2-Net: A Trainable CNN for Joint Description and Detection of Local Features

Some interesting TensorFlow tutorials for beginners.

iNaturalist competition details

PyTorch implementation of UNet++ (Nested U-Net).

Code for our CVPR 2019 paper: Selective Kernel Networks; See zhihu：https://zhuanlan.zhihu.com/p/59690223

A high performance anime upscaler

High-efficiency floating-point neural network inference operators for mobile, server, and Web

Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.

Generalized Data-free Universal Adversarial Perturbations

PyTorch Boilerplate For Research

Skin cancer classification using Inceptionv3

This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow

Code for the paper "Pose2Seg: Detection Free Human Instance Segmentation" @ CVPR2019.

GUI based Smart Sudoku Solver that tries to extract a sudoku puzzle from a photo and solve it

FSGAN - Official PyTorch Implementation

Face identification with cnn+triplet-loss written by Keras.

[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml

NoPlan is the Planner of Very Small Size soccer competition

A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps

Open solution to the Santander Value Prediction Challenge 🐠

Temporal Segments LSTM and Temporal-Inception for Activity Recognition

Tensorflow implement of U-Net

Cortex M KWS example with Tengine Lite.

Try out deep learning models online on Google Colab

Implementation of Quickdraw - an online game developed by Google

A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统

A framework for tools built on top of Cornerstone.

generate captions for images using a CNN-RNN model that is trained on the Microsoft Common Objects in COntext (MS COCO) dataset

Code for Switchable Normalization from "Differentiable Learning-to-Normalize via Switchable Normalization", https://arxiv.org/abs/1806.10779

Time series Timeseries Deep Learning Pytorch fastai - State-of-the-art Deep Learning with Time Series and Sequences in Pytorch / fastai

Tensorflow implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network" (Ledig et al. 2017)

Insight Toolkit (ITK) -- Official Repository. ITK builds on a proven, spatially-oriented architecture for processing, segmentation, and registration of scientific images in two, three, or more dimensions.

Uses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock selections.

Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition

Learning Lightweight Lane Detection CNNs by Self Attention Distillation (ICCV 2019)

[CVPR2020] CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement

solution for the American Epilepsy Society Seizure Prediction Challenge

A general list of resources to image text localization and recognition 场景文本位置感知与识别的论文资源与实现合集 シーンテキストの位置認識と識別のための論文リソースの要約

MaskFusion: Real-Time Recognition, Tracking and Reconstruction of Multiple Moving Objects

A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)

A deep learning based gaze estimation framework implemented with PyTorch