Stars
This is the official implementation of paper "Leveraging Dual Process Theory in Language Agent Framework for Simultaneous Human-AI Collaboration."
An Efficient Text-to-Image Generation Pretrain Pipeline
Traffic Flow Prediction with Vehicle Trajectories
[EMNLP 2024 Findings]AlignSum: Data Pyramid Hierarchical Fine-tuning for Aligning with Human Summarization Preference
Paper list of misinformation research using (multi-modal) large language models, i.e., (M)LLMs.
Links to conference/journal publications in automated fact-checking (resources for the TACL22/EMNLP23 paper).
An easy to use framework for large-scale fact-checking and question answering
a gaggle of deep neural architectures for text ranking and question answering, designed for Pyserini
[CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm
Dataset Condensation (ICLR21 and ICML21)
Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"
[CVPR2024] Efficient Dataset Distillation via Minimax Diffusion
Open-source code for paper "Dataset Distillation"
A curated list of awesome papers on dataset distillation and related applications.
This may be the simplest implement of DDPM. You can directly run Main.py to train the UNet on CIFAR-10 dataset and see the amazing process of denoising.
Creating a diffusion model from scratch in PyTorch to learn exactly how they work.
An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)
stock prediction with GAN and WGAN
推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
Datawhale成员整理的面经，内容包括机器学习，CV，NLP，推荐，开发等，欢迎大家star
A playbook for systematically maximizing the performance of deep learning models.
DevOps Guide - Development to Production all configurations with basic notes to debug efficiently.