Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Core deep-learning frameworks and libraries for pretraining and distributed training.
Signals: deep-learning, neural-network, pytorch, tensorflow, jax, distributed-training, training, deepspeed
2,663 results
Grapheme to phoneme conversion with deep learning.
Pytorch implementation of "All Tokens Matter: Token Labeling for Training Better Vision Transformers"
Implementation of the convolutional module from the Conformer paper, for use in Transformers
Using data analytics alongside popular trading strategies and indicators, to identify best trading actions based solely on the price action.
a collection of visualization function
This repo provides the official code for : 1) TransBTS: Multimodal Brain Tumor Segmentation Using Transformer (https://arxiv.org/abs/2103.04430) , accepted by MICCAI2021. 2) TransBTSV2: Towards Better and More Efficient Volumetric Segmentation of Medical Images(https://arxiv.org/abs/2201.12785).
[CVPR2023] Official Implementation of "DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets"
DSMIL: Dual-stream multiple instance learning networks for tumor detection in Whole Slide Image
A collection of papers about Transformer in the field of medical image analysis.
Multispectral Object Detection with Yolov5 and Transformer
Official code for ReLoRA from the paper Stack More Layers Differently: High-Rank Training Through Low-Rank Updates
[CVPR2023] MOTRv2: Bootstrapping End-to-End Multi-Object Tracking by Pretrained Object Detectors
Transformer implementation in PyTorch.
Transformer Network for Remaining Useful Life Prediction of Lithium-Ion Batteries
The official PyTorch implementation of the paper "SAITS: Self-Attention-based Imputation for Time Series". A fast and state-of-the-art (SOTA) deep-learning neural network model for efficient time-series imputation (impute multivariate incomplete time series containing NaN missing data/values with machine learning). https://arxiv.org/abs/2202.08516
Official Pytorch implementation of "OmniNet: A unified architecture for multi-modal multi-task learning" | Authors: Subhojeet Pramanik, Priyanka Agrawal, Aman Hussain
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).
24,545 repositories in the index in total.
