pkulium's repositories
Robustness-Aware-Pruning-ADMM
Code release for "Adversarial Robustness vs Model Compression, or Both?"
sparsegpt_admm
Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".
amc
[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices
ANP_backdoor
Codes for NeurIPS 2021 paper "Adversarial Neuron Pruning Purifies Backdoored Deep Models"
AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
BetterChatGPT
An amazing UI for OpenAI's ChatGPT (Website + Windows + MacOS + Linux)
Black-Box-Defense-Linear
Robustify Black-Box Models (ICLR'22 - Spotlight)
client_defense
Github Repo for AAAI 2023 paper: On the Vulnerability of Backdoor Defenses for Federated Learning
DBA
DBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)
Defending-Against-Backdoors-with-Robust-Learning-Rate
The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".
I-BAU
Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''
layer-adaptive-sparsity
In progress.
LoRA
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
Muwa-OPT
A budget-friendly OPT-based LLM
NMFADMM
A sparsity aware implementation of "Alternating Direction Method of Multipliers for Non-Negative Matrix Factorization with the Beta-Divergence" (ICASSP 2014).
ProbMask-official
Implementation of Effective Sparsification of Neural Networks with Global Sparsity Constraint
PyTorch-CIFAR-10-autoencoder
This is a reimplementation of the blog post "Building Autoencoders in Keras". Instead of using MNIST, this project uses CIFAR10.
QMeZO
MeZO: Fine-Tuning Language Models with Just Forward Passes. https://arxiv.org/abs/2305.17333
RNP
Reconstructive Neuron Pruning for Backdoor Defense (ICML 2023)
TensorRT
PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT
VRPGE-Sparse-Training
Implementation of Efficient Neural Network Training via Forward and Backward Propagation Sparsification
wanda
A simple and effective LLM pruning approach.