HqChen2021

HqChen2021's Stars

• CyC2018/CS-Notes

  :books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

  175k5.3k56650.8k

• openai/CLIP

  CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

  Language:Jupyter Notebook25k3233943.2k

• izackwu/TeachYourselfCS-CN

  TeachYourselfCS 的中文翻译 | A Chinese translation of TeachYourselfCS

  19.7k404183.2k

• xiaolincoder/CS-Base

  图解计算机网络、操作系统、计算机组成、数据库，共 1000 张图 + 50 万字，破除晦涩难懂的计算机基础知识，让天下没有难懂的八股文！🚀 在线阅读：https://xiaolincoding.com

  14.3k941211.8k

• mlfoundations/open_clip

  An open source implementation of CLIP.

  Language:Python9.9k77476957

• NielsRogge/Transformers-Tutorials

  This repository contains demos I made with the Transformers library by HuggingFace.

  Language:Jupyter Notebook9.2k1364431.4k

• openai/guided-diffusion

  Language:Python6.1k141140810

• weiaicunzai/pytorch-cifar100

  Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

  Language:Python4.2k35821.2k

• xialeiliu/Awesome-Incremental-Learning

  Awesome Incremental Learning

  3.7k13246562

• ahmetbersoz/chatgpt-prompts-for-academic-writing

  This list of writing prompts covers a range of topics and tasks, including brainstorming research ideas, improving language and style, conducting literature reviews, and developing research plans.

  2.8k373243

• DmitryRyumin/ICCV-2023-Papers

  ICCV 2023 Papers: Discover cutting-edge research from ICCV 2023, the leading computer vision conference. Stay updated on the latest in computer vision and deep learning, with code included. ⭐ support visual intelligence development!

  Language:Python920131042

• Vision-Intelligence-and-Robots-Group/Best-Incremental-Learning

  An Incremental Learning, Continual Learning, and Life-Long Learning Repository

  539182250

• AntixK/PyTorch-Model-Compare

  Compare neural networks by their feature similarity

  Language:Python33941337

• ContinualAI/continual-learning-baselines

  Continual learning baselines and strategies from popular papers, using Avalanche. We include EWC, SI, GEM, AGEM, LwF, iCarl, GDumb, and other strategies.

  Language:Python25275037

• AI-secure/DecodingTrust

  A Comprehensive Assessment of Trustworthiness in GPT Models

  Language:Python25162254

• cleverhans-lab/machine-unlearning

  Language:Python1624535

• beingCurious/books

  :books: Books worth reading

  1379064

• Adamdad/KnowledgeFactor

  [ECCV2022] Factorizing Knowledge in Neural Networks

  Language:Python86275

• Delay-Xili/LDR

  The official PyTorch implementation of the paper: Xili Dai, Shengbang Tong, et al. "Closed-Loop Data Transcription to an LDR via Minimaxing Rate Reduction.".

  Language:Python62506

• AdityaGolatkar/SelectiveForgetting

  Language:Jupyter Notebook52358

• MinChen00/UnlearningLeaks

  Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)

  Language:Python45495

• meghdadk/SCRUB

  Language:Jupyter Notebook36253

• gortizji/linearized-networks

  Source code of "What can linearized neural networks actually say about generalization?

  Language:Python17211

• zleizzo/datadeletion

  Language:Python15121

• JuliousHurtado/meta-training-setup

  This repositorie es the code of the paper Optimizing Reusable Knowledge for Continual Learning via Metalearning.

  Language:Python11314

• shash42/Evaluating-Inexact-Unlearning

  Language:Python11230

• GitiHubi/deepContinualAuditing

  Language:Python9444

• naderAsadi/Probing-Continual-Learning

  Language:Python9120

• FelixWiewel/CCMCL

  Language:Python4102

• abbie0214/Fairness-without-Demographics-through-Adversarially-Reweighted-Learning

  Language:Python32