rays2pix Goto Github PK

allstate

Kaggle's Allstate Purchase Prediction Challenge

attentionalpoolingaction

Code/Model release for NIPS 2017 paper "Attentional Pooling for Action Recognition"

birdwatchers

Through this project team members from 2020 Build2Learn would learn how to build neural networks for image classification and explore model interpretation techniques.

class-balanced-loss

Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019

coursera-datasci-cleandata

Coursera Assignment

datasci_course_materials

Public repository for course materials for the Spring 2013 session of Introduction to Data Science, an online coursera course.

datasciencecoursera

datasets

🤗 The largest hub of ready-to-use NLP datasets for ML models with fast, easy-to-use and efficient data manipulation tools

datasharing

The Leek group guide to data sharing

deeplearning_erocks

This repository contains materials for the impending deep learning workshop. Please come back on 10-01-2015 for materials.

exdata_plotting1

Plotting Assignment 1 for Exploratory Data Analysis

fire-task-2

gco_python

Python wrappers for GCO alpha-expansion and alpha-beta-swaps

imagetools-js

JavaScript image editing tools

js-segment-annotator

Javascript image annotation tool based on image segmentation.

keras-io

Keras documentation, hosted live at keras.io

label-propagation

Original source code from Active Label Propagation by Sudheendra Vijayanarasimhan and Kristen Grauman

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

pyipca

python package for Incremental Prinicpal Component Analysis

repdata_peerassessment1

Peer Assessment 1 for Reproducible Research

selfal

An attempt to make images label themselves

statmodels

Personal repo to practice statistical models

synthtext

Code for generating synthetic text images as described in "Synthetic Data for Text Localisation in Natural Images", Ankush Gupta, Andrea Vedaldi, Andrew Zisserman, CVPR 2016.

test

transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.

twitterpulse

For developing data products assignment

yawnd