1019 Open source projects that are alternatives of or similar to Point Transformer Pytorch

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

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

Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".

TensorFlow GAN implementation using Gumbel Softmax

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

专门面向中文用户的机器学习相关的学习资料大集合

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

Raw implementation of attention gated U-Net by Keras

Open Source Indonesian Python Programming Tutorial Site

Alexa client for all your devices! # No active development. PRs welcome # consider https://github.com/respeaker/avs instead

Library for Semi-Automated Data Science

TensorFlow-based neural network library

🔓 🔑 🔐 Origami: Artificial Intelligence as a Service

Artificial intelligence for the Snake game.

Neural Point-Based Graphics

Roadmap to becoming an Artificial Intelligence Expert in 2021

Flappy Bird AI using Evolution Strategies

开源人工智能，基于开源软硬件构建语音对话机器人、智能音箱……人机对话、自然交互，来宝拥有无限可能。特别说明，来宝运行于Python 3！

Vocalization sign language iOS App with deep learning using CoreML.

JavaScript Programming Game (inspired by RoboCode)

CNN image classifier implemented in Keras Notebook 🖼️.

Some of the ML and DL related reading materials, research papers that I've read

TensorFlow C API Class Wrapper in Server Side Swift.

Simple face recognition authentication (Sign up + Sign in) written in Flutter using Tensorflow Lite and Firebase ML vision library.

A bidirectional LSTM with attention for multiclass/multilabel text classification.

[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection

Train and visualize Hierarchical Attention Networks

TensorFlow implementation of the paper "Hierarchical Attention Networks for Document Classification"

A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.

Caffe2 is a lightweight, modular, and scalable deep learning framework.

Amacımız Türkçe NLP literatüründeki birçok farklı sorunu bir arada çözebilen, eşsiz yaklaşımlar öne süren ve literatürdeki çalışmaların eksiklerini gideren open source bir yazım destekleyicisi/denetleyicisi oluşturmak. Kullanıcıların yazdıkları metinlerdeki yazım yanlışlarını derin öğrenme yaklaşımıyla çözüp aynı zamanda metinlerde anlamsal analizi de gerçekleştirerek bu bağlamda ortaya çıkan yanlışları da fark edip düzeltebilmek.

Use unsupervised and supervised learning to predict stocks

Attention-guided CNN for image denoising(Neural Networks,2020)

Fake News Detection using Deep Learning models in Tensorflow

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

Detecting Sarcasm on Twitter using both traditonal machine learning and deep learning techniques.

🤖 The Cocoa Artificial Intelligence Lab

🦄 The Enterprise™ programming language

Testbed for deep reinforcement learning

AI & Deep Leanring Seminar @ Artificial Intelligence Lab, Hanyang University

Light-weight camera LiDAR calibration package for ROS using OpenCV and PCL (PnP + LM optimization)

Sample implementation of an application using KinectFusionLib

Amazing Machine Learning Open Source Tools and Projects for the Past Year (v.2019)

Fast and robust algorithm to extract edges in unorganized point clouds

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

Frustum PointNets for 3D Object Detection from RGB-D Data

Autodifferentiation package in Rust.

A selection of state-of-the-art research materials on decision making and motion planning.

Voice Activity Detection based on Deep Learning & TensorFlow

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

Papers and Datasets about Point Cloud.

3D Graph Neural Networks for RGBD Semantic Segmentation

AI research environment for the Atari 2600 games 🤖.

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

All my experiments with AI and ML

Research on Texas Hold'em AI

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

Hardware for SUSI AI https://susi.ai

A Pytorch implementation of Stylegan2 with UNet Discriminator

周志华《机器学习》手推笔记