attention-mechanism

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

RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.

all kinds of text classification models and more with deep learning

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

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

An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

The Enterprise-Grade Production-Ready Multi-Agent Orchestration Framework. Website: https://swarms.ai

A collection of important graph embedding, classification and representation learning papers with implementations.

A TensorFlow Implementation of the Transformer: Attention Is All You Need

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

Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning

Keras Attention Layer (Luong and Bahdanau scores).

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

Multilingual Automatic Speech Recognition with word-level timestamps and confidence

Reformer, the efficient Transformer, in Pytorch

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

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

Implementation of SoundStorm, Efficient Parallel Audio Generation from Google Deepmind, in Pytorch