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longlora

Code and documents of LongLoRA and LongAlpaca

lora

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

machine_learning_deep_knn

Experiments with deep learning interpretability based on "Deep k-Nearest Neighbors: Towards Confident, Interpretable and Robust Deep Learning" (https://arxiv.org/abs/1803.04765)

maml-pytorch

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

materials_discovery

meta-pretraining

Code accompanying paper: Meta-Learning to Improve Pre-Training

modal

A modular active learning framework for Python

moderation-api-release

neural-diffusion-processes

Neural Diffusion Processes

neural_testbed

neuraloptimaltransport

PyTorch implementation of "Neural Optimal Transport" (ICLR 2023 Spotlight)

nlp-uncertainty-zoo

Model zoo for different kinds of uncertainty quantification methods used in Natural Language Processing, implemented in PyTorch.

nr_smocu_sgd_gpc

open source code for the paper "Efficient Active Learning for Gaussian Process Classification by Error Reduction"

optuna

A hyperparameter optimization framework

otdd

Optimal Transport Dataset Distance

pet

This repository contains the code for "Exploiting Cloze Questions for Few-Shot Text Classification and Natural Language Inference"

pytorch-1d-wasserstein-statistical-loss

1D Wasserstein Statistical Loss in Pytorch

pytorch-tiny-imagenet

pytorch-tiny-imagenet

r2d2

[ICLR'19] Meta-learning with differentiable closed-form solvers

realistic-ssl-evaluation

Open source release of the evaluation benchmark suite described in "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"

s-fsvi

Code to accompany the paper 'Continual Learning via Sequential Function-Space Variational Inference'

self-adaptive-icl

self-adaptive in-context learning

semantic_uncertainty

semi-supervised-learning

A Unified Semi-Supervised Learning Codebase (NeurIPS'22)

set-transformer

A neural network architecture for prediction on sets

set2set

An implementation of the paper Order Matters: Sequence to Sequence for Sets

set_transformer

Pytorch implementation of set transformer

simclr

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.

torchopt

TorchOpt is an efficient library for differentiable optimization built upon PyTorch.

torchssl

A PyTorch-based library for semi-supervised learning (NeurIPS'21)