Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
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Updated
Jun 12, 2024 - Python
Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
The efficient SMT-based context-bounded model checker (ESBMC)
This repository collects awesome survey, resource, and paper for Lifelong Learning for Large Language Models.
This repository collects awesome survey, resource, and paper for Lifelong Learning with Large Language Models.
🌊 Online machine learning in Python
Fwumious Wabbit, fast on-line machine learning toolkit written in Rust
In my code portfolio, I generally try new techniques and methods in machine learning. I don't like only copying and pasting.
Data Efficient Incremental Learning Via Attentive Knowledge Replay (IEEE SMC 2023)
[ACL2024] A Codebase for Incremental Learning with Large Language Models; Official released code for "Learn or Recall? Revisiting Incremental Learning with Pre-trained Language Models (ACL 2024)", "Incremental Sequence Labeling: A Tale of Two Shifts (ACL 2024 Findings)", and "Concept-1K: A Novel Benchmark for Instance Incremental Learning (arxiv)"
Code for the paper "FOCIL: Finetune-and-Freeze for Online Class-Incremental Learning by Training Randomly Pruned Sparse Experts"
PyCIL: A Python Toolbox for Class-Incremental Learning
🎉 PILOT: A Pre-trained Model-Based Continual Learning Toolbox
Code for CPAL-2024 paper "Continual Learning with Dynamic Sparse Training: Exploring Algorithms for Effective Model Updates"
Vision-Language Large Model Incremental Learning(VLLM-IL)
An Incremental Learning, Continual Learning, and Life-Long Learning Repository
Pytorch implementation of ACCV18 paper "Revisiting Distillation and Incremental Classifier Learning."
[IJCAI 2024] Continual Multimodal Knowledge Graph Construction
Implementation of CLAD: A Continual Learning benchmark for Autonomous Driving. A continual classification and detectin track. Provides pure PyTorch, Avalanche and Detectron2 implementations.
Incremental reading card generator for Anki supporting Wikipedia & local HTML files
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