Stars
Flax is a neural network library for JAX that is designed for flexibility.
Consistent Prompting for Rehearsal-Free Continual Learning [CVPR2024]
[CVPR 2024] The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning" in PyTorch.
PyTorch implementation of various distillation approaches for continual learning of Diffusion Models.
👁️ Python library to plot DNA sequence features (e.g. from Genbank files)
🎉 PILOT: A Pre-trained Model-Based Continual Learning Toolbox
[ICCV2023] ETran: Energy-based Transferability Estimation
Based on the gummy o-ring mount keyboard Bakeneko 60 but with a backplate/back weight and a side profile that is inspired by the Unikorn
Must-read Papers on Large Language Model (LLM) Continual Learning
Awesome Incremental Learning
Fast and memory-efficient exact attention
A paper list of our recent survey on continual learning, and other useful resources in this field.
Code and documentation to train Stanford's Alpaca models, and generate the data.
Toolkit for creating, sharing and using natural language prompts.
👀 Visual Instruction Inversion: Image Editing via Visual Prompting (NeurIPS 2023)
Improve Forward Transfer by Selectively Concatenating Prompts from Prior Tasks in Continual Learning
PyContinual (An Easy and Extendible Framework for Continual Learning)
Source code for UAI 2023 paper: "Simple Transferability Estimation for Regression Tasks"
Residual Prompt Tuning: a method for faster and better prompt tuning.
Efficient LSH-based kernel density estimation
The course notes about Stanford CS224n Natural Language Processing with Deep Learning Winter 2019 (using PyTorch)
Progressive Prompts: Continual Learning for Language Models
This repository holds code and other relevant files for the NeurIPS 2022 tutorial: Foundational Robustness of Foundation Models.
PyTorch implementation of adversarial attacks [torchattacks]
Contains notebooks for the PAR tutorial at CVPR 2021.
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.