807 Open source projects that are alternatives of or similar to X Transformers

Resources about Artificial General Intelligence

Attention mechanism Implementation for Keras.

Here we are going to make some python projects during Quarantine time

Deep learning codes and projects using Python

Japanese Riichi Mahjong AI agent. (Feel free to extend this agent or develop your own agent)

AI research environment for the Atari 2600 games 🤖.

DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

Attention-based multimodal fusion for sentiment analysis

Coding exercises for the Natural Language Processing concentration, part of Udacity's AIND program.

Resource scheduling and cluster management for AI

A simple from-scratch neural net written in Go

👨🏽‍🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋

Text Classification through CNN, RNN & HAN using Keras

A small, self-contained minesweeper solver written in Java

Train and visualize Hierarchical Attention Networks

Log Anomaly Detection - Machine learning to detect abnormal events logs

Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.

attention-based LSTM/Dense implemented by Keras

A Python package implementing a new machine learning model for text classification with visualization tools for Explainable AI

Vanilla GAN implemented on top of keras/tensorflow enabling rapid experimentation & research. Branches correspond to implementations of stable GAN variations (i.e. ACGan, InfoGAN) and other promising variations of GANs like conditional and Wasserstein.

Avalanche: a End-to-End Library for Continual Learning.

Unofficial tensorflow implemention of "Attentive Generative Adversarial Network for Raindrop Removal from A Single Image (CVPR 2018) " model https://maybeshewill-cv.github.io/attentive-gan-derainnet/

A curated list of resources for embedded AI

My personal notes, presentations, and notebooks on everything Deep Learning.

TensorFlow C API Class Wrapper in Server Side Swift.

Minimax is a AI algorithm.

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.

a list of demo websites for automatic music generation research

Testbed for deep reinforcement learning

Autodifferentiation package in Rust.

First version of go-MATRIX, especially for TPS optimization and AI

A single-page website aiming to provide innovative and intuitive visualizations of common and AI algorithms.

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

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

An open source cybersecurity protocol for syncing decentralized graph data.

A Compositional Object-Based Approach to Learning Physical Dynamics

🧠 AI powered image tagger backed by DeepDetect

ECG arrhythmia classification using a 2-D convolutional neural network

深度有趣

Notebook for my medium article about how to use Dataset API in TensorFlow

⚾🤖⚾ Automatic baseball pitching overlay in realtime

A hyperparameter optimization and data collection toolbox for convenient and fast prototyping of machine-learning models.

End-to-end speech recognition using RNN Transducers in Tensorflow 2.0

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

Neat (Neural Attention) Vision, is a visualization tool for the attention mechanisms of deep-learning models for Natural Language Processing (NLP) tasks. (framework-agnostic)

🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥

This is a tutorial for PyTorch Geometric on the YooChoose dataset

Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)

Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement

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

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

Pytorch Implementation of PiCANet: Learning Pixel-wise Contextual Attention for Saliency Detection

Code for Java Deep Learning Cookbook

Image Captions Generation with Spatial and Channel-wise Attention

Satellite Image Classification using semantic segmentation methods in deep learning

A dynamic cover point generator plugin for Unreal Engine 4.

Vocalization sign language iOS App with deep learning using CoreML.

Important paper implementations for Question Answering using PyTorch

🤖 A curated list of machine learning & artificial intelligence startups in Berlin (Germany)