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

Reformer, the efficient Transformer, in Pytorch

Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch

To eventually become an unofficial Pytorch implementation / replication of Alphafold2, as details of the architecture get released

Implementation of TimeSformer from Facebook AI, a pure attention-based solution for video classification

Implementation of Bottleneck Transformer in Pytorch

My take on a practical implementation of Linformer for Pytorch.

Implementation of the Point Transformer layer, in Pytorch

Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.

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

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

Implementation of SE3-Transformers for Equivariant Self-Attention, in Pytorch. This specific repository is geared towards integration with eventual Alphafold2 replication.

Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch

An implementation of (Induced) Set Attention Block, from the Set Transformers paper

SimpleDNN is a machine learning lightweight open-source library written in Kotlin designed to support relevant neural network architectures in natural language processing tasks

Sinkhorn Transformer - Practical implementation of Sparse Sinkhorn Attention

Transformer based on a variant of attention that is linear complexity in respect to sequence length

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

An implementation of Performer, a linear attention-based transformer, in Pytorch

Fully featured implementation of Routing Transformer

Implementation of Slot Attention from GoogleAI

A multi-object tracking component. Works in the conditions where identification and classical object trackers don't (e.g. shaky/unstable camera footage, occlusions, motion blur, covered faces, etc.). Works on any object despite their nature.

Deep learning codes and projects using Python

Vector AI — A platform for building vector based applications. Encode, query and analyse data using vectors.

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

Artificial intelligence learn playing any game with watching you.

Contains implementation of Guided Attention Inference Network (GAIN) presented in Tell Me Where to Look(CVPR 2018). This repository aims to apply GAIN on fcn8 architecture used for segmentation.

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

🔮 A refreshing functional take on deep learning, compatible with your favorite libraries

Attention mechanism Implementation for Keras.

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

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

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

A simple from-scratch neural net written in Go

Text Classification through CNN, RNN & HAN using Keras

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

Train and visualize Hierarchical Attention Networks

This project implements a real-time image and video object detection classifier using pretrained yolov3 models.

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.

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

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

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

Minimax is a AI algorithm.

Enhance your WordPress content with Artificial Intelligence and Machine Learning services.

a list of demo websites for automatic music generation research

A PyTorch Library for Accelerating 3D Deep Learning Research

A library for prototyping realtime hand detection (bounding box), directly in the browser.

Coherent Semantic Attention for image inpainting(ICCV 2019)

Resources for the study group in IIT Guwahati focused on learning Artificial Intelligence.

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

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

fuzzylite: a fuzzy logic control library in C++

An open source cybersecurity protocol for syncing decentralized graph data.

🧠 AI powered image tagger backed by DeepDetect

Library for Semi-Automated Data Science

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

深度有趣

⚾🤖⚾ Automatic baseball pitching overlay in realtime

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

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