Evaluating LLMs with fewer examples

Uni-OVSeg is a weakly supervised open-vocabulary segmentation framework that leverages unpaired mask-text pairs.

S-CLIP: Semi-supervised Vision-Language Pre-training using Few Specialist Captions

🤖 The free, Open Source alternative to OpenAI, Claude and others. Self-hosted and local-first. Drop-in replacement for OpenAI, running on consumer-grade hardware. No GPU required. Runs gguf, transf…

Code and results accompanying our paper titled RATT: Leveraging Unlabeled Data to guarantee generalization at ICML 2021 (Long Talk)

IDEAL: Influence-Driven Selective Annotations Empower In-Context Learners in Large Language Models

Implementation for Denoising Graph Neural Networks

Offical pytorch implementation of proposed NRGNN and Compared Methods in "NRGNN: Learning a Label Noise-Resistant Graph Neural Network on Sparsely and Noisily Labeled Graphs" (KDD 2021).

IJCAI 2022 MLP4Rec

Code for UAI 2019 paper "Domain Generalization via Multidomain Discriminant Analysis"

An All-MLP solution for Vision, from Google AI

LibCity: An Open Library for Urban Spatial-temporal Data Mining

Single-cell RNA-seq clustering and annotation

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

Source code for "Understanding Deep Image Representations by Inverting Them", CVPR 2015

iCNN: image reconstruction from CNN features

A unified, comprehensive and efficient recommendation library

An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawitz et. al)" in Python.

XGBoost for label-imbalanced data: XGBoost with weighted and focal loss functions

Official implementation of "GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators" (NeurIPS 2020)