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
2,672 results
Source code for "Taming Visually Guided Sound Generation" (Oral at the BMVC 2021)
基于神经网络的通用股票预测模型 A general stock prediction model based on neural networks
Efficient Training of Audio Transformers with Patchout
CVPR2022 (Oral) - Rethinking Semantic Segmentation: A Prototype View
LiBai(李白): A Toolbox for Large-Scale Distributed Parallel Training
🏬 modelstore is a Python library that allows you to version, export, and save a machine learning model to your filesystem or a cloud storage provider.
Advanced Quantitative Factor Research: ML-powered stock return prediction with 72% performance improvement. Features comprehensive alpha factor library, systematic feature selection, and deep learning models (LSTM+ResNet achieving IC=0.06476).
EQTransformer, a python package for earthquake signal detection and phase picking using AI.
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
24,540 repositories in the index in total.
