Pinned Repositories
amagold
CD-GraB
CD-GraB is a distributed gradient balancing framework that aims to find distributed data permutation with provably better convergence guarantees than Distributed Random Reshuffling (D-RR). https://arxiv.org/pdf/2302.00845.pdf.
ChocoSGD
Decentralized SGD and Consensus with Communication Compression: https://arxiv.org/abs/1907.09356
DeblurGAN
Image Deblurring using Generative Adversarial Networks
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
GraB
Source code for the GraB paper.
Homophilic_Directed_ScaleFree_Networks
Inequalities in Homophilic Directed ScaleFree Networks
LibraryDatacenter
This is my group project for creating a distributed library datacenter on MongoDB, Redis, and Hadoop Distributed File System for Distributed Database Systems course on my study-away program in Tsinghua University
Quest
Turn-based RPG adventure game implemented in OCaml & Python NumPy (Python codes not uploaded)
SensitiveSparseZO
GarlGuo's Repositories
GarlGuo/CD-GraB
CD-GraB is a distributed gradient balancing framework that aims to find distributed data permutation with provably better convergence guarantees than Distributed Random Reshuffling (D-RR). https://arxiv.org/pdf/2302.00845.pdf.
GarlGuo/Quest
Turn-based RPG adventure game implemented in OCaml & Python NumPy (Python codes not uploaded)
GarlGuo/LibraryDatacenter
This is my group project for creating a distributed library datacenter on MongoDB, Redis, and Hadoop Distributed File System for Distributed Database Systems course on my study-away program in Tsinghua University
GarlGuo/SensitiveSparseZO
GarlGuo/amagold
GarlGuo/ChocoSGD
Decentralized SGD and Consensus with Communication Compression: https://arxiv.org/abs/1907.09356
GarlGuo/DeblurGAN
Image Deblurring using Generative Adversarial Networks
GarlGuo/DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
GarlGuo/GraB
Source code for the GraB paper.
GarlGuo/Homophilic_Directed_ScaleFree_Networks
Inequalities in Homophilic Directed ScaleFree Networks
GarlGuo/HTorch
GarlGuo/MeZO
MeZO: Fine-Tuning Language Models with Just Forward Passes. https://arxiv.org/abs/2305.17333
GarlGuo/Optimization_and_Sampling_for_Bayesian_Inference
Adaptive MCMC and CMA-ES Python code
GarlGuo/Pathways
GarlGuo/PyHessian
PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks
GarlGuo/pytorch-optimizer
torch-optimizer -- collection of optimizers for Pytorch
GarlGuo/qlora
QLoRA: Efficient Finetuning of Quantized LLMs
GarlGuo/ranking_with_slot_constraints
GarlGuo/ranking_with_slot_constraints_rebuttal
GarlGuo/SensitiveSparseZORebuttal
GarlGuo/shogun
Shōgun
GarlGuo/shrinkbench
PyTorch library to facilitate development and standardized evaluation of neural network pruning methods.
GarlGuo/Statistical-Learning-Methods
Implement Statistical Learning Methods, Li Hang the hard way. 李航《统计学习方法》一书的硬核 Python 实现
GarlGuo/text_similarity
Text Similarity
GarlGuo/transformers-arithmetic
GarlGuo/transformers-language-modeling
Train 🤗transformers with DeepSpeed: ZeRO-2, ZeRO-3
GarlGuo/transformers-nlp
Transformer Models in NLP
GarlGuo/wentao-homepage