lvapeab/nmt-keras
quality grade D, 47 out of 100Neural Machine Translation with Keras
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Core deep-learning frameworks and libraries for pretraining and distributed training.
Signals: deep-learning, neural-network, pytorch, tensorflow, jax, distributed-training, training, deepspeed
2,672 results
Neural Machine Translation with Keras
Fast implementation of BERT inference directly on NVIDIA (CUDA, CUBLAS) and Intel MKL
Cross-view Transformers for real-time Map-view Semantic Segmentation (CVPR 2022 Oral)
臺灣大學 (NTU) 李宏毅教授「機器學習 (Machine Learning) 2021 Spring 」課程筆記
"Pop Music Transformer: Beat-based Modeling and Generation of Expressive Pop Piano Compositions", ACM Multimedia 2020
A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)
TransMorph: Transformer for Unsupervised Medical Image Registration (PyTorch)
This code accompanies the the paper Trading with the Momentum Transformer: An Intelligent and Interpretable Architecture (https://arxiv.org/pdf/2112.08534.pdf).
Export Hugging Face models to Core ML and TensorFlow Lite
Vision-Centric BEV Perception: A Survey
Tevatron - Unified Document Retrieval Toolkit across Scale, Language, and Modality. Demo in SIGIR 2023, SIGIR 2025.
A Keras TensorFlow 2.0 implementation of BERT, ALBERT and adapter-BERT.
[ECCV2022] MOTR: End-to-End Multiple-Object Tracking with TRansformer
(ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?"
Transformer based on a variant of attention that is linear complexity in respect to sequence length
Official Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation" - MICCAI 2021
A Change Detection Repo Standing on the Shoulders of Giants
Papers about graph transformers.
SOTA Semantic Segmentation Models in PyTorch
allRank is a framework for training learning-to-rank neural models based on PyTorch.
Official PyTorch implementation of Superpoint Transformer [ICCV'23], SuperCluster [3DV'24 Oral], and EZ-SP [ICRA'26]
Implementation of TabTransformer, attention network for tabular data, in Pytorch
Explainability for Vision Transformers
Simple transformer implementation from scratch in pytorch. (archival, latest version on codeberg)
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