1174 Open source projects that are alternatives of or similar to Densepoint

Deep learning codes and projects using Python

pip install antialiased-cnns to improve stability and accuracy

Be Driven 🚘

CNN image classifier implemented in Keras Notebook 🖼️.

SincNet is a neural architecture for efficiently processing raw audio samples.

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

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

Machine Reading Comprehension in Tensorflow

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

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

deeplearning.ai , By Andrew Ng, All video link

Diabetic retinopathy screening w/ Tensorflow.

A convolutional neural network implementation of a script that detects whether an individual is wearing a hardhat or not.

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

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

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

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

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

This is an open sourced book on deep learning.

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

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

Efficient Learning of Augmentation Policy Schedules

Deep Learning Computer Vision Algorithms for Real-World Use

Keras (tensorflow) implementation of SincNet (Mirco Ravanelli, Yoshua Bengio - https://github.com/mravanelli/SincNet)

MIVisionX toolkit is a comprehensive computer vision and machine intelligence libraries, utilities and applications bundled into a single toolkit.

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

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

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

Relation-Shape Convolutional Neural Network for Point Cloud Analysis (CVPR 2019 Oral & Best paper finalist)

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.

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

A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.

Semantic segmentation on iPhone using ESPNetv2

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

A fully convolution-network for speech-to-text, built on pytorch.

A Pytorch implementation of Stylegan2 with UNet Discriminator

3D Liver Segmentation with GAN

Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal

A Tensorflow re-implementation of the paper Convolutional Neural Networks for Steady Flow Approximation

Multi-Perspective Convolutional Neural Networks for modeling textual similarity (He et al., EMNLP 2015)

Implementation of the convolutional module from the Conformer paper, for use in Transformers

486 lines of C++: old-school FPS in a weekend

IPython Notebook for training a word-level Convolutional Neural Network model for sentiment classification task on Yelp-Challenge-2016 review dataset.

Hyperparameter Optimization for TensorFlow, Keras and PyTorch

The Automagic Project Planner

Provide a basic framework to build an Utility IA in Unity using the xNode editor of Siccity

Roadmap to becoming an Artificial Intelligence Expert in 2021

List of AI Residency Programs

A shader-based software renderer written from scratch in C89

Reformer, the efficient Transformer, in Pytorch

Go 3D Game Engine

Visual Attribute Transfer through Deep Image Analogy in PyTorch!

Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute

A convolutional neural network from scratch

Keras implementation of video classifier

Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images

List of Machine Learning, AI, NLP solutions for iOS. The most recent version of this article can be found on my blog.

研究资源列表 A curated list of research resources

Code examples for training AlexNet using Keras and Theano

XLNet Extension in TensorFlow