1483 Open source projects that are alternatives of or similar to Hardhat Detector

CNN image classifier implemented in Keras Notebook 🖼️.

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

Efficient Learning of Augmentation Policy Schedules

Deep learning codes and projects using Python

Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification

Transfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!

Deep Learning Computer Vision Algorithms for Real-World Use

Best Practices, code samples, and documentation for Computer Vision.

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

The Cutest Deep Learning Framework which is also a wonderful Declarative Language

A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code

Top 200 deep learning Github repositories sorted by the number of stars.

DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing (ICCV 2019)

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A tensorflow implementation with SSD model for person detection and Kalman Filtering combined for tracking

🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!

A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release that enables easy visualization and analysis of models, and comparison across training algorithms.

A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.

🤖 NanoNeuron is 7 simple JavaScript functions that will give you a feeling of how machines can actually "learn"

Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".

Deep Learning Autonomous Car based on Raspberry Pi, SunFounder PiCar-V Kit, TensorFlow, and Google's EdgeTPU Co-Processor

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

Komputation is a neural network framework for the Java Virtual Machine written in Kotlin and CUDA C.

Tensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"

Lets Learn AI

pip install antialiased-cnns to improve stability and accuracy

Human Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras

Machine Learning for Flappy Bird using Neural Network and Genetic Algorithm

Dataset of images of trash; Torch-based CNN for garbage image classification

Be Driven 🚘

[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow

Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D Convolutional Neural Networks')

Machine Reading Comprehension in Tensorflow

RMDL: Random Multimodel Deep Learning for Classification

TensorFlow Implementation of state-of-the-art models since 2012

Implementation of Transformer in Transformer, pixel level attention paired with patch level attention for image classification, in Pytorch

An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification

Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)

High-performance Vision library in Python. Scale your research, not boilerplate.

a delightful machine learning tool that allows you to train, test, and use models without writing code

Semantic segmentation on iPhone using ESPNetv2

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Machine learning resources

🌓 Bringing pjreddie's DarkNet out of the shadows #yolo

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

Multiple implementations for abstractive text summurization , using google colab

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tensorflow implementation of Grad-CAM (CNN visualization)

Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.

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Implementation of Bottleneck Transformer in Pytorch

deeplearning.ai , By Andrew Ng, All video link

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A photo OCR project aims to output DMS messages contained in sign structure images.

A Pytorch implementation of Global Self-Attention Network, a fully-attention backbone for vision tasks

Diabetic retinopathy screening w/ Tensorflow.

.NET library to easily create Voice Command Control feature.

This is an open sourced book on deep learning.

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