Official implementation of Cold-Diffusion for different transformations in pytorch.

LLM101n: Let's build a Storyteller

Video+code lecture on building nanoGPT from scratch

[ICCV 2023] - Zero-shot Composed Image Retrieval with Textual Inversion

Official PyTorch repository for Hypercomplex Multimodal Emotion Recognition from EEG and Peripheral Physiological Signals, ICASSPW 2023.

Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.

fMRI-to-image reconstruction on the NSD dataset.

[ICCV 2023] Official repository of paper titled "Why Is Prompt Tuning for Vision-Language Models Robust to Noisy Labels?"

[CVPR 2023] Official repository of paper titled "MaPLe: Multi-modal Prompt Learning".

DimeNet and DimeNet++ models, as proposed in "Directional Message Passing for Molecular Graphs" (ICLR 2020) and "Fast and Uncertainty-Aware Directional Message Passing for Non-Equilibrium Molecules…

Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

A collection of resources and papers on Diffusion Models

Semantic Structure-based Unsupervised Deep Hashing IJCAI2018

TeD-Q (Tensor-network enhanced Distributed Quantum) is a tensor network enhanced distributed hybrid quantum machine learning framework.

[CVPR'22] Official Implementation of the CVPR 2022 paper "UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learning"

Official code for our CVPR '22 paper "Dataset Distillation by Matching Training Trajectories"

A curated (most recent) list of resources for Learning with Noisy Labels

NeurIPS 2021, "Fine Samples for Learning with Noisy Labels"

[ICLR 2020] A repository for extremely fast adversarial training using FGSM

A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.

Source code for our EMNLP'21 paper 《Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning》

Understanding Training Dynamics of Deep ReLU Networks

AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations from Self-Trained Negative Adversaries

Designing a Practical Degradation Model for Deep Blind Image Super-Resolution (ICCV, 2021) (PyTorch) - We released the training code!

Code for CVPR2021 paper 'Where and What? Examining Interpretable Disentangled Representations'.

OpenMMLab Detection Toolbox and Benchmark

The ultimate Vim configuration: vimrc

TPAMI: Classification with noisy labels by importance reweighting.