440 Open source projects that are alternatives of or similar to Tensorflow-For-Beginners

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

Differentiable architecture search for convolutional and recurrent networks

Object classification with CIFAR-10 using transfer learning

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

采用深度学习方法进行刀具识别。

ePillID Dataset: A Low-Shot Fine-Grained Benchmark for Pill Identification (CVPR 2020 VL3)

conda recipes for freecad and dependencies of freecad

Easily train an image classifier and then use it to label/tag other images

This project shows how to use CoreML and Vision with a pre-trained deep learning SSD (Single Shot MultiBox Detector) model. There are many variations of SSD. The one we’re going to use is MobileNetV2 as the backbone this model also has separable convolutions for the SSD layers, also known as SSDLite. This app can find the locations of several di…

Repository to identify Lego bricks automatically only using images

✌Real-time translation of the Auslan Alphabet

Our deep learning for computer vision related project for nostalgic poke weebs (Sistemi digitali, Unibo).

ImVisible: Pedestrian Traffic Light Dataset, Neural Network, and Mobile Application for the Visually Impaired (CAIP '19, ICCVW'19)

ICCV2021/2019/2017 论文/代码/解读/直播合集，极市团队整理

Image Upload from Android to Python-Based Flask Server

Paper Lists for Graph Neural Networks

A Simple Deep Neural Network to classify images made with Keras

Image Recognition and Information Extraction from Image Documents using Keras and Watson NLU

Serving TensorFlow models with TensorFlow Serving 📙

Only in native python & numpy with Keras interface

Unofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms

A simple image dataset EDA tool (CLI / Code)

TensorFlow Lite Helper for Android to help getting started with TesnorFlow.

Catalyst.Classification

Listing my favorite research papers 📝 from different fields as I read them.

AI Roadmap:机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN），图神经网络（GNN），NLP，大数据相关的发展路书(roadmap), 并附海量源码（python，pytorch）带大家消化基本知识点，突破面试，完成从新手到合格工程师的跨越，其中深度学习相关论文附有tensorflow caffe官方源码，应用部分含推荐算法和知识图谱

A collection of SOTA Image Classification Models in PyTorch

Building a Neural Network that classifies faces using OpenCV and Tensorflow

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

Keras implementation of InceptionV4 Paper

Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

[NeurIPS 2021] DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification

A machine learning exercise, using KNN to classify deforested areas

Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network

数据科学实践 | data science practice

A conda tool to work with multiple projects in development mode.

🔬 Some personal research code on analyzing CNNs. Started with a thorough exploration of Stanford's Tiny-Imagenet-200 dataset.

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

This is one of my OpenCV that is Computer Vision project named in vi . That is inspired from Harry potter Invisible Cloak

Deep Learning Bootcamp

Open mesh-to-mesh registration framework

Multi-task learning smile detection, age and gender classification on GENKI4k, IMDB-Wiki dataset.

This is the final project for the Udacity Machine Learning Nanodegree: Predicting article retweets and likes based on the title using Machine Learning

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

Supervised Classification of bird species 🐦 in high resolution images, especially for, Himalayan birds, having diverse species with fairly low amount of labelled data

Computer Graphics vs Real Photographic Images : A Deep-learning approach

🎒 Bag of Visual words (BoW) approach for object classification and detection in images together with SIFT feature extractor and SVM classifier.

Performing Leaf Image classification for Recognition of Plant Diseases using various types of CNN Architecture, For detection of Diseased Leaf and thus helping the increase in crop yield.

Deep Learning Applications (Darknet - YOLOv3, YOLOv4 | DeOldify - Image Colorization, Video Colorization | Face-Recognition) with Google Colaboratory - on the free Tesla K80/Tesla T4/Tesla P100 GPU - using Keras, Tensorflow and PyTorch.

One-click image sorting/labelling script

Code to reproduce 'Deep Learning for Decentralized Parking Lot Occupancy Detection' paper.

Reference implementations of popular DL models missing from keras-applications & keras-contrib

ROS2 nodes for computer vision tasks in Tensorflow

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Handwritten digit recognizer using a feed-forward neural network and the MNIST dataset of 70,000 human-labeled handwritten digits.

Projects include the application of transfer learning to build a convolutional neural network (CNN) that identifies the artist of a painting, the building of predictive models for Bitcoin price data using Long Short-Term Memory recurrent neural networks (LSTMs) and a tutorial explaining how to build two types of neural network using as input the…

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Notebooks for Fastai Viusal Guide

Python REST API to detect images with adult content