1164 Open source projects that are alternatives of or similar to Linformer Pytorch

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

Official PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]

An implementation of the efficient attention module.

Action recognition using soft attention based deep recurrent neural networks

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

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

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

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

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

Implementation of the Point Transformer layer, in Pytorch

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

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

Sinkhorn Transformer - Practical implementation of Sparse Sinkhorn Attention

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

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

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

Reformer, the efficient Transformer, in Pytorch

Implementation of Bottleneck Transformer in Pytorch

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

A selection of state-of-the-art research materials on trajectory prediction

A simple but complete full-attention transformer with a set of promising experimental features from various papers

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

A list of the top 10 computer vision papers in 2020 with video demos, articles, code and paper reference.

Fully featured implementation of Routing Transformer

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

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

研究资源列表 A curated list of research resources

Implementation of Slot Attention from GoogleAI

ENet - A Neural Net Architecture for real time Semantic Segmentation

Text Classification through CNN, RNN & HAN using Keras

A curated list of awesome machine learning frameworks, libraries, courses, books and many more.

A PyTorch Library for Accelerating 3D Deep Learning Research

2020-2021年计算机视觉综述论文分方向整理

🍳 Recipes for the Prodigy, our fully scriptable annotation tool

🚗 the collection of vehicle re-ID papers, datasets. 🚗

Deep Learning and deep reinforcement learning research papers and some codes

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

🚀 Catalyst is a C# Natural Language Processing library built for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.

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

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

A free sports API written for python

Tengine is a lite, high performance, modular inference engine for embedded device

Infrastructures™ for Machine Learning Training/Inference in Production.

Artificial intelligence learn playing any game with watching you.

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 curated list of GAN & Deepfake papers and repositories.

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

🧠 AI powered image tagger backed by DeepDetect

An JavaScript implementation of Behavior Trees.

MIT-Princeton Vision Toolbox for Robotic Pick-and-Place at the Amazon Robotics Challenge 2017 - Robotic Grasping and One-shot Recognition of Novel Objects with Deep Learning.

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

Code for my medium article

Curated list of my reads, implementations and core concepts of Artificial Intelligence, Deep Learning, Machine Learning by best folk in the world.

A collection of research papers categorized by real-world systems that enact them

AI residency programs information

Code for the paper "Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments"

Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks

Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5

Attention mechanism Implementation for Keras.