Babylon.js is a powerful, beautiful, simple, and open game and rendering engine packed into a friendly JavaScript framework.

🎉 PILOT: A Pre-trained Model-Based Continual Learning Toolbox

Code for "Task-Agnostic Continual RL: In Praise of a Simple Baseline"

Proxy-based Contrastive Replay for Online Class-Incremental Continual Learning

Triple Memory Networks: a Brain-Inspired Method for Continual Learning (TNNLS 2021)

PyTorch code of my WACV 2022 paper Improving Model Generalization by Agreement of Learned Representations from Data Augmentation

A collection of online continual learning paper implementations and tricks for computer vision in PyTorch, including our ASER(AAAI-21), SCR(CVPR21-W) and an online continual learning survey (Neuroc…

Code for CVPR2022 paper "Not Just Selection, but Exploration: Online Class-Incremental Continual Learning via Dual View Consistency"

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

Continual learning strategies(EWC, GEM) for rotated MNIST dataset

Continual learning baselines and strategies from popular papers, using Avalanche. We include EWC, SI, GEM, AGEM, LwF, iCarl, GDumb, and other strategies.

A brain-inspired version of generative replay for continual learning with deep neural networks (e.g., class-incremental learning on CIFAR-100; PyTorch code).

Code Implementation for CVPR 2023 Paper: Class-Incremental Exemplar Compression for Class-Incremental Learning

ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型

LLaMA v2 Chatbot

Overcoming catastrophic forgetting with hard attention to the task

Official implementation of AOGNets and Attentive Normalization.

Official implementation for our CVPR19 paper, AOGNets: Compositional Grammatical Architectures for Deep Learning

自己总结的这十多年做Qt开发以来的经验，以及Qt相关武林秘籍电子书，会一直持续更新增加，欢迎各位留言增加内容或者提出建议，谢谢！公众号：Qt实战/Qt入门和进阶/Qt教程

使用Builder模式封装网络请求接口get, post, put．还加入lambda特性用于网络请求响应

PyContinual (An Easy and Extendible Framework for Continual Learning)

Model Zoos for Continual Learning (ICLR 22)

Compare neural networks by their feature similarity

PyTorch Re-Implementation of "The Sparsely-Gated Mixture-of-Experts Layer" by Noam Shazeer et al. https://arxiv.org/abs/1701.06538

Network Slimming (Pytorch) (ICCV 2017)

Torch implementation of ResNet from https://arxiv.org/abs/1512.03385 and training scripts