6579 Open source projects that are alternatives of or similar to Ds_bowl_2018

kaggle Dog Breed Identification

Code for our paper "Generalized Orderless Pooling Performs Implicit Salient Matching" published at ICCV 2017.

Pytorch starter kit for Kaggle competitions

Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks

코딩셰프의 3분 딥러닝, 케라스맛

An open-source, low-code machine learning library in Python

深度学习入门教程, 优秀文章, Deep Learning Tutorial

Train a state-of-the-art yolov3 object detector from scratch!

Deep-learning seismic facies on state-of-the-art CNN architectures

Implementation of Neural Image Captioning model using Keras with Theano backend

Diseases Detection from NIH Chest X-ray data

Deep learning codes and projects using Python

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

A collection of code examples as well as presentations for training purposes

A real time optical flow algorithm implemented on GPU

Open solution to the Mapping Challenge 🌎

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

🙄 Difficult algorithm, Simple code.

记录我学习数据挖掘过程的笔记和见到的奇技，持续更新～

Set of scripts and data for reproducing dog breed classification model training, analysis, and inference.

Welcome everyone!🌟 Here you can solve problems, build scrappers and much more💻

A weekly workshop series at ITP to teach machine learning with a focus on deep learning

Everware is about re-useable science, it allows people to jump right in to your research code.

Convolutional Pose Machines in TensorFlow

Best practices of using Spark for practicing data scientists in the context of a data scientist’s standard workflow.

使用PyTorch实现Char RNN生成古诗和周杰伦的歌词

Implementation of "Action-Conditional Video Prediction using Deep Networks in Atari Games"

Materials for workshops on text mining, machine learning, and data visualization

Supporting material and projects for a course on Cloud DevOps: Microservices.

Slides and exercises for the Theano tutorial at the Deep Learning School in Stanford, September 24-25, 2016

Implementation of the model used in the paper Protest Activity Detection and Perceived Violence Estimation from Social Media Images (ACM Multimedia 2017)

Statistical Interactive Visualization with pandas+Jupyter integration on top of Echarts.

Data science and Big Data with Python

How to run Object Detection and Segmentation on a Video Fast for Free

a collection of my notes on deep learning

TensorFlow Lab for Self-Driving Car ND

Building a CNN based traffic signs classifier.

This repository is my attempt to help Data Science aspirants gain necessary Data Visualization skills required to progress in their career. It includes all the types of plot offered by Seaborn, applied on random datasets.

ML Learning Sabbatical Study Materials

📚 机器学习基石和机器学习技法作业

Learned representation for Offline Handwritten Signature Verification. Models and code to extract features from signature images.

Scripts for downloading AudioSet

State of the Art results in Intent Classification using Sematic Hashing for three datasets: AskUbuntu, Chatbot and WebApplication.

Jupyter Notebooks for learning the PyRosetta platform for biomolecular structure prediction and design

Add any Program in any language you like or add a hello world Program ❣️ if you like give us ⭐

This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.

Code for getting data from social media for your data science projects!

DeepFashion2 Dataset https://arxiv.org/pdf/1901.07973.pdf

Stock Market Analysis and Prediction is the project on technical analysis, visualization and prediction using data provided by Google Finance.

Code for "A-NICE-MC: Adversarial Training for MCMC"

Mapping out the coarse-grained connectivity structures of complex manifolds.

Master Thesis: Limit order placement with Reinforcement Learning

Cryptocurrency Historical Market Data R Package