zyxuaan

zyxuaan's Stars

• linexjlin/GPTs

  leaked prompts of GPTs

  29.1k3.9k

• BhaskarMukhoty/LocalZO

  Direct Training of SNN using Local Zeroth Order Method

  Language:Python32

• fangwei123456/Parallel-Spiking-Neuron

  Language:Python474

• if-loops/selective-synaptic-dampening

  [AAAI, ICLR TP] Fast Machine Unlearning Without Retraining Through Selective Synaptic Dampening

  Language:Python429

• tamlhp/awesome-machine-unlearning

  Awesome Machine Unlearning (A Survey of Machine Unlearning)

  Language:Jupyter Notebook77256

• EnnengYang/Awesome-Forgetting-in-Deep-Learning

  A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. TPAMI, 2024.

  25811

• jjbrophy47/machine_unlearning

  Existing Literature about Machine Unlearning

  81199

• ssundaram21/dreamsim

  DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data (NeurIPS 2023 Spotlight) / / / / When Does Perceptual Alignment Benefit Vision Representations? (NeurIPS 2024)

  Language:Python42722

• optimass/continual_learning_papers

  Relevant papers in Continual Learning

  Language:TeX72682

• BlinkDL/RWKV-LM

  RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.

  Language:Python13k880

• jianghaojun/Awesome-Parameter-Efficient-Transfer-Learning

  A collection of parameter-efficient transfer learning papers focusing on computer vision and multimodal domains.

  39325

• ZJU-FAST-Lab/Fast-Drone-250

  hardware and software design of the 250mm autonomous drone

  Language:C++1.6k295

• atonkamanda/awesome-ai-brain-computer-interface

  Must-read papers on machine learning, deep learning, reinforcement learning and other learning methods for brain-computer interfaces.

  784

• pkuxmq/OTTT-SNN

  [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks

  Language:Python5510

• mtanghu/DNI-RNN

  Decoupled Neural Interfaces (Jaderberg et al. 2017) mini-package for easy integration with pytorch RNNs

  Language:Python22

• orobix/fwdgrad

  Implementation of "Gradients without backpropagation" paper (https://arxiv.org/abs/2202.08587) using functorch

  Language:Python1079

• byin-cwi/sFPTT

  FeedForward Propagation Through Time on Spiking Neural Network (SNNs)

  Language:Jupyter Notebook492

• neuralml/ccDNI

  Language:Python51

• koz4k/dni-pytorch

  Decoupled Neural Interfaces using Synthetic Gradients for PyTorch

  Language:Python23636

• microsoft/LoRA

  Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

  Language:Python11.1k698

• zju-bmi-lab/Fast-SNN

  Language:Python584

• VITA-Group/Open-L2O

  Open-L2O: A Comprehensive and Reproducible Benchmark for Learning to Optimize Algorithms

  Language:C++26944

• CAS-CLab/Gated-LIF

  GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks, NeurIPS 2022 Poster

  Language:Python498

• csyhhu/MetaQuant

  Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019

  Language:Python547

• NeuromorphicComputing/SoftHebb

  Language:Python6915

• Lionelsy/Conference-Accepted-Paper-List

  Some Conferences' accepted paper lists (including AI, ML, Robotic)

  98674

• brain-intelligence-lab/surrogate_module_learning

  Create a new backward path for more accurate SNN gradients.

  Language:Python151

• Huawei-BIC/SpikeDHS

  This is the official code for our paper "Differentiable Hierarchical and Surrogate Gradient Search for Spiking Neural Networks, NeurIPS 2022, Spotlight"

  Language:Python142

• SpikingChen/SNN-Daily-Arxiv

  Update arXiv papers about Spiking Neural Networks daily.

  Language:Python31927

• janehjlee/exact_snn_forward_prop

  Language:Jupyter Notebook71