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ai-ji

AI

ai-learn

人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

book-

:green_book:我的个人书籍学习和收藏

books

整理一些书籍 ~

books-

My book list

code

codes

The codes carried from other places

control-and-system-book

textbook about control, robotics, system

cs-books

🔥🔥超过1000本的计算机经典书籍、个人笔记资料以及本人在各平台发表文章中所涉及的资源等。书籍资源包括C/C++、Java、Python、Go语言、数据结构与算法、操作系统、后端架构、计算机系统知识、数据库、计算机网络、设计模式、前端、汇编以及校招社招各种面经~

dynamic-cdfsl

Pytorch codes for NeurIPS 2021 paper titled "Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data".

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

hessianflow

hidden-networks

improved-ddpm-pytorch

Implementation of "Improved Denoising Diffusion Probabilistic Models" in Pytorch

leetcode

Python & JAVA Solutions for Leetcode

ml

ML

paddlevit

:robot: PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+

pytorch-classification

Classification with PyTorch.

stylegan2-pytorch

Implementation of Analyzing and Improving the Image Quality of StyleGAN (StyleGAN 2) in PyTorch

swp-cdfsl

The code of 'Soft-Weight Pruning for Cross-Domain Few-Shot Learning with unlabeled Target Data'

taylor_pruning

Pruning Neural Networks with Taylor criterion in Pytorch

transfer

Code and data for the paper "Multi-Source Domain Adaptation with Mixture of Experts" https://arxiv.org/abs/1809.02256

transfer-learning-toolkit

Transfer Learning Toolkit for Primary Researchers

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

understanding-cdfsl

Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty, NeurIPS 2022

vit-pytorch

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