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dice

Generate Diverse Counterfactual Explanations for any machine learning model.

distil

DISTIL: Deep dIverSified inTeractIve Learning. An active/inter-active learning library built on py-torch for reducing labeling costs.

dit

Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

domain-adaptation-regression

Code release for Representation Subspace Distance for Domain Adaptation Regression (ICML 2021)

eada

[AAAI 2022] Official Implementation of Active Learning for Domain Adaptation: An Energy-based Approach https://arxiv.org/abs/2112.01406

ebclr

Official PyTorch implementation of "Energy-Based Contrastive Learning of Visual Representations", NeurIPS 2022

ebm_code_release

Code for Implicit Generation and Generalization with Energy Based Models

elr

Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels

energy_ood

explicit-planning-for-reasoning

Implementation of the methods described in our paper "Explicit Planning Helps Language Models in Logical Reasoning"

far-ho

Gradient based hyperparameter optimization & meta-learning package for TensorFlow

fast-soft-sort

Fast Differentiable Sorting and Ranking

feat

The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"

fixmatch

A simple method to perform semi-supervised learning with limited data.

fixmatch-pytorch

Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"

graph_comb_opt

Implementation of "Learning Combinatorial Optimization Algorithms over Graphs"

heatood

hoag

Hyperparameter optimization with approximate gradient

hyper-representation

This is the official repo for the experiments in the paper "Bilevel Programming for Hyperparameter Optimization and Meta-Learning"

hypertorch

i-bau

Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''

jem

Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"

lab

A customisable 3D platform for agent-based AI research

lal

This project contains code for paper Ksenia Konyushkova, Raphael Sznitman, Pascal Fua 'Learning Active Learning from Data', NIPS 2017

lava

This is an official repository for "LAVA: Data Valuation without Pre-Specified Learning Algorithms" (ICLR2023).

learning-loss-for-active-learning

Reproducing experimental results of LL4AL [Yoo et al. 2019 CVPR]

leetcode

LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)

leetcode-1

Leetcode solutions

llama-adapter

Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters

lmops

General technology for enabling AI capabilities w/ LLMs and MLLMs