WenbinLee/OpenRSI
Executable, measurable, and reproducible AI4AI toward recursive self-improvement. Home of OpenMLE and Frontis-MA1.
Repositories
WenbinLee/GPTQModel
LLM model quantization (compression) toolkit with HW acceleration support for Nvidia, AMD, Intel GPU and Intel/AMD/Apple CPU via HF, vLLM, and SGLang.
WenbinLee/wenbinlee.github.io
Wenbin Li at Nanjing University
WenbinLee/Godel_Agent
Gödel Agent: A Self-Referential Agent Framework for Recursive Self-Improvement
WenbinLee/penguin-harness
🐧 Harness for RSI. Let AI Build AI. Multi-Agent Auto-Dev Platform. Everything is Transparent.
WenbinLee/exo
Exo is an agent + harness architecture that is fully recursive, able to safely edit all aspects of itself at runtime to get better at your tasks.
WenbinLee/FractalDB
Pretraining without Natural Images (ACCV 2020 Oral)
WenbinLee/DN4
Pytorch code of "Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning", CVPR 2019.
WenbinLee/CSrankings
A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.
WenbinLee/CovaMNet
The Pytorch code of "Distribution Consistency based Covariance Metric Networks for Few-shot Learning", AAAI 2019.
WenbinLee/Trip-ROMA
The PyTorch code of "Trip-ROMA: Self-Supervised Learning with Triplets and Random Mappings", TMLR 2023.
WenbinLee/DefensiveFSL
The Pytorch code of "Defensive Few-Shot Learning", TPAMI 2023.
WenbinLee/UniCLR_built_on_MoCov3
WenbinLee/PyCIL
PyCIL: A Python Toolbox for Class-Incremental Learning
WenbinLee/ADM
The Pytorch code of "Asymmetric Distribution Measure for Few-shot Learning", IJCAI 2020.
WenbinLee/few-shot-meta-baseline
A New Meta-Baseline for Few-Shot Learning
WenbinLee/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
WenbinLee/IF
WenbinLee/pyDML
Distance Metric Learning Algorithms for Python
WenbinLee/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
WenbinLee/CLIP-SAM
WenbinLee/diffae
Official implementation of Diffusion Autoencoders
WenbinLee/HTS-ECCV22
WenbinLee/Sharp-MAML
Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning
WenbinLee/solo-learn
solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
WenbinLee/awesome-few-shot-learning
A review for latest few-shot learning works
WenbinLee/OPML
The matlab code of "OPML: A One-Pass Closed-Form Solution for Online Metric Learning", Pattern Recognition 2018.
WenbinLee/landscapes
A dependency free library of standardized optimization test functions written in pure Python.
WenbinLee/adversarial-attacks-pytorch
PyTorch implementation of adversarial attacks.
WenbinLee/adv-attack
Adversarial attacks including DeepFool and C&W