A curated list of resources for using LLMs to develop more competitive grant applications.

A PyTorch implementation of the paper "All are Worth Words: A ViT Backbone for Diffusion Models".

😎 A curated list of awesome lists across all machine learning topics. | 机器学习/深度学习/人工智能一切主题 (学习范式/任务/应用/模型/道德/交叉学科/数据集/框架/教程) 的资源列表汇总。

add statistical significance annotations on seaborn plots. Further development of statannot, with bugfixes, new features, and a different API.

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

GPU Accelerated t-SNE for CUDA with Python bindings

add statistical annotations (pvalue significance) on an existing boxplot generated by seaborn boxplot

Code and tutorials to visualise your data that is both beautiful *and* statistically valid

A GUI for Pandas DataFrames

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Official Pytorch Implementation for y-Aware Contrastive Learning

🏥 Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease

assistant tools for attention visualization in deep learning

LIBSVM -- A Library for Support Vector Machines

📖 [译] scikit-learn（sklearn） 中文文档

Subtype and Stage Inference (SuStaIn) algorithm with an example using simulated data.

An index of algorithms for learning causality with data

personal practice（个人练习，实现了深度学习中的一些算法，包括：四种初始化方法（zero initialize, random initialize, xavier initialize, he initialize），深度神经网络，正则化，dropout， 三种梯度下降方法(BGD, SGD, mini-batch)，六种优化算法(momentum、nesterov mom…

PyTorch implementation of Barlow Twins.

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

[CVPR 2021] Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers

计算机视觉相关综述。包括目标检测、跟踪........

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Natural Language Processing Tutorial for Deep Learning Researchers

deep learning for image processing including classification and object-detection etc.