attention-is-all-you-need

Kyubyong/transformer

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

linto-ai/whisper-timestamped

Multilingual Automatic Speech Recognition with word-level timestamps and confidence

awslabs/sockeye

Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch

gordicaleksa/pytorch-original-transformer

My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.

Separius/awesome-fast-attention

list of efficient attention modules

brightmart/bert_language_understanding

Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN

hkproj/pytorch-transformer

Attention is all you need implementation

kaituoxu/Speech-Transformer

A PyTorch implementation of Speech Transformer, an End-to-End ASR with Transformer network on Mandarin Chinese.

lsdefine/attention-is-all-you-need-keras

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

kyegomez/LongNet

Implementation of plug in and play Attention from "LongNet: Scaling Transformers to 1,000,000,000 Tokens"

sooftware/kospeech

Open-Source Toolkit for End-to-End Korean Automatic Speech Recognition leveraging PyTorch and Hydra.

FreedomIntelligence/TextClassificationBenchmark

A Benchmark of Text Classification in PyTorch

jayparks/transformer

A Pytorch Implementation of "Attention is All You Need" and "Weighted Transformer Network for Machine Translation"

lvapeab/nmt-keras

Neural Machine Translation with Keras

feifeibear/long-context-attention

USP: Unified (a.k.a. Hybrid, 2D) Sequence Parallel Attention for Long Context Transformers Model Training and Inference

kyegomez/CM3Leon

An open source implementation of "Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction Tuning", an all-new multi modal AI that uses just a decoder to generate both text and images

sled-group/InfEdit

[CVPR 2024] Official implementation of CVPR 2024 paper: "Inversion-Free Image Editing with Natural Language"

kyegomez/ScreenAI

Implementation of the ScreenAI model from the paper: "A Vision-Language Model for UI and Infographics Understanding"

sgrvinod/a-PyTorch-Tutorial-to-Transformers

Attention Is All You Need | a PyTorch Tutorial to Transformers

kyegomez/PALM-E

Implementation of "PaLM-E: An Embodied Multimodal Language Model"

hkproj/transformer-from-scratch-notes

Notes about "Attention is all you need" video (https://www.youtube.com/watch?v=bCz4OMemCcA)

brandokoch/attention-is-all-you-need-paper

Original transformer paper: Implementation of Vaswani, Ashish, et al. "Attention is all you need." Advances in neural information processing systems. 2017.

leviswind/pytorch-transformer

pytorch implementation of Attention is all you need

kyegomez/RT-X

Pytorch implementation of the models RT-1-X and RT-2-X from the paper: "Open X-Embodiment: Robotic Learning Datasets and RT-X Models"

Shuijing725/CrowdNav_Prediction_AttnGraph

[ICRA 2023] Intention Aware Robot Crowd Navigation with Attention-Based Interaction Graph

kyegomez/MambaTransformer

Integrating Mamba/SSMs with Transformer for Enhanced Long Context and High-Quality Sequence Modeling

kyegomez/Jamba

PyTorch Implementation of Jamba: "Jamba: A Hybrid Transformer-Mamba Language Model"

SmallDoges/small-doge

Doge Family of Small Language Models

OutofAi/StableFace

Build your own Face App with Stable Diffusion 2.1

jshuadvd/LongRoPE

Implementation of the LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens Paper

guillaume-chevalier/Linear-Attention-Recurrent-Neural-Network

A recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head attention. The formulas are derived from the BN-LSTM and the Transformer Network. The LARNN cell with attention can be easily used inside a loop on the cell state, just like any other RNN. (LARNN)

tnq177/transformers_without_tears

Transformers without Tears: Improving the Normalization of Self-Attention

alexivaner/Deep-Learning-Based-Radio-Signal-Classification

Final Project for AI Wireless

whr94621/NJUNMT-pytorch

johnsmithm/multi-heads-attention-image-classification

Multi heads attention for image classification