Topic: transformer-architecture Goto Github
Some thing interesting about transformer-architecture
Some thing interesting about transformer-architecture
transformer-architecture,This repo contains the updated version of all the assignments/labs (done by me) of Deep Learning Specialization on Coursera by Andrew Ng. It includes building various deep learning models from scratch and implementing them for object detection, facial recognition, autonomous driving, neural machine translation, trigger word detection, etc.
User: abdur75648
Home Page: https://abdur75648.github.io/Deep-Learning-Specialization-Coursera/
transformer-architecture,A numpy implementation of the Transformer model in "Attention is All You Need"
User: akirusprod
transformer-architecture,Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch
Organization: awslabs
Home Page: https://awslabs.github.io/sockeye/
transformer-architecture,Implementation of the Swin Transformer in PyTorch.
User: berniwal
Home Page: https://arxiv.org/pdf/2103.14030.pdf
transformer-architecture,Grapheme to phoneme model for PyTorch
Organization: ciscodevnet
transformer-architecture,An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
User: cmhungsteve
transformer-architecture,Official source code for the paper: "Itβs Just a Matter of Time: Detecting Depression with Time-Enriched Multimodal Transformers"
User: cosmaadrian
Home Page: https://link.springer.com/chapter/10.1007/978-3-031-28244-7_13
transformer-architecture,[BMVC 2022] You Only Need 90K Parameters to Adapt Light: A Light Weight Transformer for Image Enhancement and Exposure Correction. SOTA for low light enhancement, 0.004 seconds try this for pre-processing.
User: cuiziteng
transformer-architecture,This is the official repository of the original Point Transformer architecture.
User: engelnico
Home Page: https://ieeexplore.ieee.org/document/9552005
transformer-architecture,
Organization: eth-ait
Home Page: https://eth-ait.github.io/cose/
transformer-architecture,CPT: A Pre-Trained Unbalanced Transformer for Both Chinese Language Understanding and Generation
Organization: fastnlp
transformer-architecture,Human Scene Transformer: A framework for trajectory prediction and wrappers for reframing the JRDB dataset for the prediction task.
Organization: google-research
Home Page: https://human-scene-transformer.github.io/
transformer-architecture,[ECCV 2022] Official repository for "MaxViT: Multi-Axis Vision Transformer". SOTA foundation models for classification, detection, segmentation, image quality, and generative modeling...
Organization: google-research
transformer-architecture,Notes about "Attention is all you need" video (https://www.youtube.com/watch?v=bCz4OMemCcA)
User: hkproj
Home Page: https://www.youtube.com/watch?v=bCz4OMemCcA
transformer-architecture,Implementation of Transformer Encoder Decoder Architecture for Video Predictions
User: iamrakesh28
transformer-architecture,Codes, scripts, and notebooks on various aspects of transformer models.
User: januverma
transformer-architecture,[MICCAI 2021] Boundary-aware Transformers for Skin Lesion Segmentation
User: jcwang123
transformer-architecture,Official implementation of "Particle Transformer for Jet Tagging".
Organization: jet-universe
Home Page: https://arxiv.org/abs/2202.03772
transformer-architecture,Minimalist NMT for educational purposes
User: joeynmt
transformer-architecture,Implementation of the LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens Paper
User: jshuadvd
Home Page: https://arxiv.org/pdf/2402.13753.pdf
transformer-architecture,[ECCV2022] Official PyTorch implementation of the paper "Outpainting by Queries"
User: kaiseem
transformer-architecture,My implementation of "Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models"
User: kyegomez
Home Page: https://apac.ai/agora
transformer-architecture,A novel implementation of fusing ViT with Mamba into a fast, agile, and high performance Multi-Modal Model. Powered by Zeta, the simplest AI framework ever.
User: kyegomez
Home Page: https://discord.gg/GYbXvDGevY
transformer-architecture,Simple State-of-the-Art BERT-Based Sentence Classification with Keras / TensorFlow 2. Built with HuggingFace's Transformers.
Organization: labteral
transformer-architecture,The repository of ET-BERT, a network traffic classification model on encrypted traffic. The work has been accepted as The Web Conference (WWW) 2022 accepted paper.
User: linwhitehat
transformer-architecture,Code for CRATE (Coding RAte reduction TransformEr).
Organization: ma-lab-berkeley
transformer-architecture,The official implementation of "Transformer in Transformer as Backbone for Deep Reinforcement Learning"
User: maohangyu
transformer-architecture,Official PyTorch implementation of our AAAI22 paper: TransMEF: A Transformer-Based Multi-Exposure Image Fusion Framework via Self-Supervised Multi-Task Learning.
User: miccaiif
transformer-architecture,CASPR is a deep learning framework applying transformer architecture to learn and predict from tabular data at scale.
Organization: microsoft
transformer-architecture,Evolutionary Neural Architecture Search on Transformers for RUL Prediction
User: mohyunho
transformer-architecture,Self-contained Machine Learning and Natural Language Processing library in Go
Organization: nlpodyssey
transformer-architecture,IEEE TNNLS 2021, transformer, multi-graph transformer, graph, graph classification, sketch recognition, sketch classification, free-hand sketch, official code of the paper "Multi-Graph Transformer for Free-Hand Sketch Recognition"
User: pengboxiangshang
transformer-architecture,An open source implementation of Microsoft's VALL-E X zero-shot TTS model. Demo is available in https://plachtaa.github.io
User: plachtaa
transformer-architecture,Fine-tuned pre-trained GPT2 for custom topic specific text generation. Such system can be used for Text Augmentation.
User: prakhar21
transformer-architecture,A summarization of Transformer-based architectures for CV tasks, including image classification, object detection, segmentation, and Few-shot Learning. Keep updated frequently.
User: quanghuy0497
transformer-architecture,Implementation of Vision Transformer from scratch and performance compared to standard CNNs (ResNets) and pre-trained ViT on CIFAR10 and CIFAR100.
User: ra1ph2
transformer-architecture,Attention Is All You Need | a PyTorch Tutorial to Transformers
User: sgrvinod
transformer-architecture,Edge-Augmented Graph Transformer
User: shamim-hussain
transformer-architecture,Official PyTorch implementation of our ECCV 2022 paper "Sliced Recursive Transformer"
User: szq0214
transformer-architecture,Inference Llama 2 in one file of pure π₯
User: tairov
Home Page: https://www.modular.com/blog/community-spotlight-how-i-built-llama2-by-aydyn-tairov
transformer-architecture,[AAAI 2023 Oral] VLTinT: Visual-Linguistic Transformer-in-Transformer for Coherent Video Paragraph Captioning
Organization: uark-aicv
Home Page: https://uark-aicv.github.io/VLTinT/
transformer-architecture,official implementation of the paper: Towards End-to-End Generative Modeling of Long Videos with Memory-Efficient Bidirectional Transformers (CVPR 2023)
User: ugness
Home Page: https://sites.google.com/view/mebt-cvpr2023/home
transformer-architecture,An Extensible Continual Learning Framework Focused on Language Models (LMs)
Organization: uic-liu-lab
transformer-architecture,Basic Gesture Recognition Using mmWave Sensor - TI AWR1642
User: vilari-mickopf
transformer-architecture,PyTorch implementation of the model presented in "Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention"
User: vsainteuf
transformer-architecture,[IGARSS'22]: A Transformer-Based Siamese Network for Change Detection
User: wgcban
Home Page: https://www.wgcban.com/research#h.e51z61ujhqim
transformer-architecture,SeqFormer: Sequential Transformer for Video Instance Segmentation (ECCV 2022 Oral)
User: wjf5203
transformer-architecture,General API for Deep Bayesian Variational Inference by Backpropagation. The repository has been designed to work with Transformers like architectures. Compatible with the HuggingFace Transformers models.
User: yliess86
transformer-architecture,Seq2SeqSharp is a tensor based fast & flexible deep neural network framework written by .NET (C#). It has many highlighted features, such as automatic differentiation, different network types (Transformer, LSTM, BiLSTM and so on), multi-GPUs supported, cross-platforms (Windows, Linux, x86, x64, ARM), multimodal model for text and images and so on.
User: zhongkaifu
transformer-architecture,PyContinual (An Easy and Extendible Framework for Continual Learning)
User: zixuanke
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