Codes for RoadBEV: road surface reconstruction in Bird's Eye View

Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"

Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.

A Collection of Variational Autoencoders (VAE) in PyTorch.

WWW 2018: Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications

TODS: An Automated Time-series Outlier Detection System

Anomaly detection related books, papers, videos, and toolboxes

Exercises answers to the book "machine-learning" written by Zhou Zhihua。周志华《机器学习》课后习题，个人解答。各算法都拿numpy和pandas实现了一遍

DELTA is a deep learning based natural language and speech processing platform.

Weakly Aligned Cross-Modal Learning for Multispectral Pedestrian Detection, ICCV, 2019

Pytorch implementation of Multimodal Fusion Transformer for Remote Sensing Image Classification.

Implementation Code for paper "Efficient Multimodal Fusion via Interactive Prompting" in CVPR2023

[TPAMI 2023, NeurIPS 2020] Code release for "Deep Multimodal Fusion by Channel Exchanging"

Implementation of CVPR 2020 paper "MMTM: Multimodal Transfer Module for CNN Fusion"

[CVPR 2022] Code release for "Multimodal Token Fusion for Vision Transformers"

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

Scenic: A Jax Library for Computer Vision Research and Beyond

Learning Representations that Support Robust Transfer of Predictors

ICCV2021 - training a post-hoc lightweight GAN-discriminator for open-set recognition

Source code for ICML2021 Paper - Learning Bounds for Open-set Learning

PyTorch code for our paper: Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers? https://arxiv.org/abs/1908.09625

Code and data for the research paper "Towards Open Set Deep Networks" A Bendale, T Boult, CVPR 2016

A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition

A memory-efficient implementation of DenseNets

Matlab implementation of particle swarm optimization. Well documented with examples.

Implementation of Convolutional LSTM in PyTorch.

Visualization Toolbox for Long Short Term Memory networks (LSTMs)