599 Open source projects that are alternatives of or similar to NIPS-Global-Paper-Implementation-Challenge

Caffe models (including classification, detection and segmentation) and deploy files for famouse networks

Collection of computer vision models, ready to be included in a JVM project

Training examples and results for ImageNet(ILSVRC2012)/CIFAR100/COCO2017/VOC2007+VOC2012 datasets.Image Classification/Object Detection.Include ResNet/EfficientNet/VovNet/DarkNet/RegNet/RetinaNet/FCOS/CenterNet/YOLOv3.

(ECCV 2020) Tensorflow implementation of A Generic Visualization Approach for Convolutional Neural Networks

Object Tracking in Tensorflow ( Localization Detection Classification ) developed to partecipate to ImageNET VID competition

Classification with PyTorch.

Pytorch implementation of network design paradigm described in the paper "Designing Network Design Spaces"

Sandbox for training deep learning networks

SimpleAICV:pytorch training example on ImageNet(ILSVRC2012)/COCO2017/VOC2007+2012 datasets.Include ResNet/DarkNet/RetinaNet/FCOS/CenterNet/TTFNet/YOLOv3/YOLOv4/YOLOv5/YOLOX.

This is an official implementation of CvT: Introducing Convolutions to Vision Transformers.

Unofficial PyTorch Reimplementation of RandAugment.

Implementation of EfficientNet model. Keras and TensorFlow Keras.

MobileNetV3 in pytorch and ImageNet pretrained models

A lightweight convolutional neural network

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

Classification and Segmentation with Mask-RCNN of Skin Cancer using ISIC dataset

Model verification, validation, and error analysis

Win probability predictions for League of Legends matches using neural networks

Kaggle Titanic example

Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network

TF-NAS: Rethinking Three Search Freedoms of Latency-Constrained Differentiable Neural Architecture Search (ECCV2020)

A flexible Python front-end inference SDK based on TensorRT

High-resolution breast cancer screening with multi-view deep convolutional neural networks

Easily train or fine-tune SOTA computer vision models with one open source training library

Code and models for the paper Shape-Texture Debiased Neural Network Training (ICLR 2021)

Repository for anime characters recognition website, powered by TensorFlow

Etiketai is an online tool designed to label images, useful for training AI models

Use machine learning in AppInventor, with easy training using text, images, or numbers through the Machine Learning for Kids website.

Ramp up your custom natural language processing (NLP) task, allowing you to bring your own data, use your preferred frameworks and bring models into production.

Catalyst.Classification

Code for NeurIPS 2019 Paper

这是一个基于tensorflow和python的猫狗分类算法

MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20

immuneML is a platform for machine learning analysis of adaptive immune receptor repertoire data.

Implementation of key concepts of neuralnetwork via numpy

A PyTorch-based open-source framework that provides methods for improving the weakly annotated data and allows researchers to efficiently develop and compare their own methods.

Deep learning, Convolutional neural networks, Image processing, Document processing, Table detection, Page object detection, Table classification. https://www.sciencedirect.com/science/article/pii/S0925231221018142

Unofficial TensorFlow implementation of "AlexNet" architecture.

Classifying time series using feature extraction

Vectorized Machine Learning in Python 🐍 From Scratch

This repo contains regression and classification projects. Examples: development of predictive models for comments on social media websites; building classifiers to predict outcomes in sports competitions; churn analysis; prediction of clicks on online ads; analysis of the opioids crisis and an analysis of retail store expansion strategies using…

PyTorch re-implementation of parts of "Deep Sets" (NIPS 2017)

Pytorch code to generate adversarial examples on mnist and ImageNet data.

Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deployment as a RESTful service on Kubernetes.

Loan Application Data Analysis

D-Lab's 6 hour introduction to machine learning in R. Learn the fundamentals of machine learning, regression, and classification, using tidymodels in R.

Code for replicating results of team 'hateminers' at EVALITA-2018 for AMI task

Rank 1 / 216

Super simple text classifier using Naive Bayes. Plug-and-play, no dependencies

Official code for Conformer: Local Features Coupling Global Representations for Visual Recognition

ugtm: a Python package for Generative Topographic Mapping

Embeddings: State-of-the-art Text Representations for Natural Language Processing tasks, an initial version of library focus on the Polish Language

Nearly Perfect & Easily Understandable PyTorch Implementation of SKNet

Compare neural networks by their feature similarity

This project explores colors in various images and then enables the user to query the images based on a given color.

Vita - Genetic Programming Framework

YOLOv1 tensorflow

Online machine learning methods

Coding up a Neural Network Classifier from Scratch

Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.