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An open source implementation of CLIP.
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
The official implementation of the paper "Data Contamination Calibration for Black-box LLMs" (ACL 2024)
A platform for building proxies to bypass network restrictions.
A simulated world consist of several auto-drived and unpredictable AI based on GPT
Our code for EMNLP'22 Oral paper "Distill the Image to Nowhere: Inversion Knowledge Distillation for Multimodal Machine Translation".
Our code for ICCV'23 paper "CAME: Contrastive Automated Model Evaluation".
Universal and Transferable Attacks on Aligned Language Models
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An automated feature engineering framework 'FETCH' accepted in ICLR 2023.
[ICML 2023] The official implementation of the paper "TabDDPM: Modelling Tabular Data with Diffusion Models"
Code for AMIA CRI 2016 paper "Learning Low-Dimensional Representations of Medical Concepts"
Research on Tabular Deep Learning: Papers & Packages
PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
This repository contains implementations and illustrative code to accompany DeepMind publications
The official PyTorch implementation of recent paper - SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training
GRACE: Generating Concise and Informative Contrastive Sample to Explain Neural Network Model’s Prediction. Thai Le, Suhang Wang, Dongwon Lee. 26th ACM SIGKDD Int’l Conf. on Knowledge Discovery and …
A PyTorch implementation of Perceiver, Perceiver IO and Perceiver AR with PyTorch Lightning scripts for distributed training
Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch
Pytorch implementation of set transformer
NeurIPS'22 | TransTab: Learning Transferable Tabular Transformers Across Tables
TensorFlow code and pre-trained models for BERT
This is a daemon which grabs input events from the Lenovo K5923/Chicony TG-1226 Wireless TouchPads and translates them into keyboard shortcuts.