30 open-source projects similar to cl-coder236/lmsrr, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best LMSRR alternative.
MiniCPM is a collection of small language models designed for local, on-device deployment in resource-constrained environments. The project focuses on running dense Transformer models on consumer hardware, including GPUs, CPUs, and Apple Silicon, without requiring custom code forks. The project distinguishes itself through heavy optimization for edge hardware, utilizing quantized weight compression in GGUF and MLX formats to reduce memory overhead. It implements advanced inference techniques such as speculative sampling and radix-tree prefix caching to accelerate generation speed and throughp
Xiangkun Wang 1   Junbo Zhang 3   Tianrui Li 4   Xin Yang 1  
The official code for paper "Stacking Brick by Brick: Aligned Feature Isolation for Incremental Face Forgery Detection" (CVPR 2025)
ICLR 2025 Self-Normalized Resets for Plasticity in Continual Learning
This repository contains the implementation for the paper titled "Canonical Shape Projection is All You Need for 3D Few-shot Class Incremental Learning", accepted at ECCV 2024. The goal of this project is to explore and implement the proposed method using Python and PyTorch.
Learnable drift compensation (LDC) reduces semantic drift in continual learning using a trainable projector to map between tasks.
ECCV2024 Official implementation of OpenDistill3D.
python mainprol.py cifar100prol --batch-size 10 --numtasks 10 --data-path ./localdatasets/ --seed 1993 --lr 0.05 --epochs 1 --length 5
Repository for the paper: "TiC-LM: A Web-Scale Benchmark for Time-Continual LLM Pretraining" ACL Oral 2025
Implementation of Mecoin for graph few-shot incremental learning , in Pytorch.
NeurIPS 2025 MiN: Mixture of Noise for Pre-Trained Model-Based Class-Incremental Learning
An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learning
The code implementation of Continual Churn Approximation Reduction (C-CHAIN) for ICML 2025 paper "Mitigating Plasticity Loss in Continual RL by Reducing Churn"
https://github.com/user-attachments/assets/3ee4d1fc-fe38-4f45-a1d1-73c8c4ac3885
NeurIPS 2024 GACL: Exemplar-Free Generalized Analytic Continual Learning
Cifar-10, Cifar-100, MNIST, SVHN datasets can be automatically downloaded with torchvision.datasets; Tiny-Imagenet requires manual downloading.
NeurIPS 2025 Official implementation of "Mitigating Intra- and Inter-modal Forgetting in Continual Learning of Unified Multimodal Models" by Xiwen Wei, Mustafa Munir, Radu Marculescu
This is an official implementation of our work, Select and Distill: Selective Dual-Teacher Knowledge Transfer for Continual Learning on Vision-Language Models, accepted to ECCV'24
This is the official PyTorch implementation for the paper "Fed-Duet: Dual Expert-Orchestrated Framework for Continual Federated Vision-Language Learning".
This is the official Repository for paper, "Rethinking Continual Learning with Progressive Neural Collapse" (ICLR 2026)
Official repository for the ICASSP 2024 paper 'Learning a Low-Rank Feature Representation: Achieving Better Trade-Off between Stability and Plasticity in Continual Learning'.
The Code for "The Lie of the Average: How Class Incremental Learning Evaluation Deceives You?"