This project aim was to predict the price of houses in the Boston area during the great financial crisis through regression, as well as classify houses into different quality categories according to their features. For this we used a kaggle data set.
[Kaggle] (https://www.kaggle.com/c/house-prices-advanced-regression-techniques/data)
BriVL BriVL (Bridging Vision and Language Model) 是首个中文通用图文多模态大规模预训练模型。BriVL模型在图文检索任务上有着优异的效果，超过了同期其他常见的多模态预训练模型（例如UNITER、CLIP）。 BriVL论文：WenLan: Bridgi
Implicit Feature Alignment: Learn to Convert Text Recognizer to Text Spotter This is a pytorch-based implementation for paper Implicit Feature Alignme
Transformer Meets Tracker: Exploiting Temporal Context for Robust Visual Tracking Ning Wang, Wengang Zhou, Jie Wang, and Houqiang Li Accepted by CVPR
TensorFlow Similarity is a python package focused on making similarity learning quick and easy.
GPR1200 Dataset GPR1200: A Benchmark for General-Purpose Content-Based Image Retrieval (ArXiv) Konstantin Schall, Kai Uwe Barthel, Nico Hezel, Klaus J
pytorch-framework PyTorch common framework to accelerate network implementation, training and validation. This framework is inspired by works from MML
VGPL-Visual-Prior PyTorch implementation for the visual prior component (i.e. perception module) of the Visually Grounded Physics Learner (VGPL). Give
A "gym" style toolkit for building lightweight Neural Architecture Search systems
Logical Neural Networks LNNs are a novel Neuro = symbolic framework designed to seamlessly provide key properties of both neural nets (learning) and s
Fast Training of Neural Lumigraph Representations using Meta Learning Project Page | Paper | Data Alexander W. Bergman, Petr Kellnhofer, Gordon Wetzst
TuiGAN-PyTorch Official PyTorch Implementation of "TuiGAN: Learning Versatile Image-to-Image Translation with Two Unpaired Images" (ECCV 2020 Spotligh
CoaT: Co-Scale Conv-Attentional Image Transformers Introduction This repository contains the official code and pretrained models for CoaT: Co-Scale Co
Computational Methods for Physics & Astronomy Book version at: https://restrepo.github.io/ComputationalMethods by: Sebastian Bustamante 2014/2015 Dieg
Unsupervised Phone and Word Segmentation using Vector-Quantized Neural Networks Overview Unsupervised phone and word segmentation on speech data is pe
Chemistry in python Resources Used The following items are not made by me! Click the words to go to the original source Periodic Tab Json - Used in -
Dual Parameterization of Sparse Variational Gaussian Processes Documentation | Notebooks | API reference Introduction This repository is the official
Pyserini Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations. Retrieval using sparse re
GP-UNIT - Official PyTorch Implementation This repository provides the official PyTorch implementation for the following paper: Unsupervised Image-to-
Tensorpack is a neural network training interface based on TensorFlow. Features: It's Yet Another TF high-level API, with speed, and flexibility built
A method that utilized Generative Adversarial Network (GAN) to interpret the black-box deep image classifier models by PyTorch.
235 Dec 27, 2022
61 Nov 12, 2022
236 Dec 22, 2022
912 Jan 08, 2023
16 Nov 21, 2022
3 Dec 19, 2022
8 Dec 29, 2022
12 Nov 05, 2022
138 Dec 19, 2022
39 Oct 08, 2022
181 Dec 09, 2022
191 Dec 03, 2022
11 Sep 10, 2022
13 Dec 11, 2022
28 Dec 17, 2021
7 Dec 23, 2022
706 Dec 29, 2022
125 Jan 03, 2023
6.2k Jan 01, 2023
3 Dec 29, 2022