nblt

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

LoRA

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

mean-teacher

A state-of-the-art semi-supervised method for image recognition

MST

A toolbox for spectral compressive imaging reconstruction including MST (CVPR 2022), CST (ECCV 2022), DAUHST (NeurIPS 2022), BiSCI (NeurIPS 2023), HDNet (CVPR 2022), MST++ (CVPRW 2022), etc.

MOC-Detector

[ECCV 2020] Actions as Moving Points

PNGAN

"Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training" (NeurIPS 2021)

WeTS

A benchmark for the task of translation suggestion

DLDR

[TPAMI 2023] Low Dimensional Landscape Hypothesis is True: DNNs can be Trained in Tiny Subspaces

Sub-AT

[CVPR 2022 oral] Subspace Adversarial Training

TWA

[ICLR 2023] Trainable Weight Averaging: Efficient Training by Optimizing Historical Solutions

NuAT

Towards Efficient and Effective Adversarial Training, NeurIPS 2021

LPF-SGD

One-Pixel-Shotcut

One-Pixel Shortcut: on the Learning Preference of Deep Neural Networks (ICLR 2023 Spotlight)

RWP

TUFL

The implementation of my paper "Threshold-adaptive Unsupervised Focal Loss for Domain Adaptation of Semantic Segmentation"

vanilla-adversarial-training

vanilla training and adversarial training in PyTorch

Circular-teaching

Codes for circular-teaching [working in progress...]

CR-SAM

Code for AAAI 2024 paper: CR-SAM: Curvature Regularized Sharpness-Aware Minimization

Orthogonal-Multi-Path

This is an old version code for the paper Learn Robust Features via Orthogonal Multi-Path (https://arxiv.org/abs/2010.12190v1).

mixMatch

Pytorch reproduction of the experiment in the paper of MixMatch.