Read-only git conversion of OpenBSD's official CVS src repository. Pull requests not accepted - send diffs to the tech@ mailing list.

GB/T 7714-2015 BibTeX Style

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

Fast and accurate protein structure prediction

Code for NeurIPS 2022 paper “S-Prompts Learning with Pre-trained Transformers: An Occam’s Razor for Domain Incremental Learning“

A transfer learning fault diagnosis repository covering popular algorithms

Fast and accurate protein domain segmentation using Invariant Point Attention

Modified version of Alphafold to divide CPU part (MSA and template searching) and GPU part. This can accelerate Alphafold when predicting multiple structures

Official code for the paper "Task2Vec: Task Embedding for Meta-Learning" (https://arxiv.org/abs/1902.03545, ICCV 2019)

【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被60个国家的400所大学用于教学。

Fully-automated scripts for collecting AI-related papers

Easy Way to Generate PSSM from the FASTA Sequences

DeepGraphGO: graph neural network for large-scale, multispecies protein function prediction

Jupyter Notebooks for learning the PyRosetta platform for biomolecular structure prediction and design

以撸代码的形式学习Python

Pre-trained and Reproduced Deep Learning Models （经典复现模型）

《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book

Decryption-Tools

Collection of algorithms for approximating Fisher Information Matrix for Natural Gradient (and second order method in general)

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

Experiments with beta-VAE to learn disentangled representations from the data

周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！