Templates for PolyU PhD thesis and confirmation report

Offical code of "QKFormer: Hierarchical Spiking Transformer using Q-K Attention" (NeurIPS 2024)

🔥🔥🔥A collection of some awesome public SNN(Spiking Neural Network) projects.

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

Awesome LLMs on Device: A Comprehensive Survey

List of papers related to neural network quantization in recent AI conferences and journals.

A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (p…

Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm. In ECCV 2018 and IJCV

BNTT - Frontiers in Neuroscience (2021)

State-space Oscillator Modeling And Time-series Analysis (SOMATA) is a Python library for state-space neural signal processing algorithms developed in the Purdon Lab.

A Survey on multimodal learning research.

Sequence modeling benchmarks and temporal convolutional networks

优质稳定的OpenAI、Gemini、Claude等的API接口-For企业和开发者。OpenAI的api proxy，支持ChatGPT的API调用，支持Anthropic claude的官方接口形式，支持Google gemini的官方接口形式，支持：gpt-5，sora。不需要openai Key, 不需要买openai的账号，不需要美元的银行卡，通通不用的，直接调用就行，稳定好用！！智增增

PyTorch implementation of the eligibility propagation (e-prop) learning algorithm.

A Python package that uses task-based neurons to build neural networks.

PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

Awesome Incremental Learning

FeedForward Propagation Through Time on Spiking Neural Network (SNNs)

Sequence Modeling with Multiresolution Convolutional Memory (ICML 2023)

A paper list of spiking neural networks, including papers, codes, and related websites. 本仓库收集脉冲神经网络相关的顶会顶刊以及CNS论文和代码，正在持续更新中。

Training Recurrent Neural Networks via Forward Propagation Through Time

Structured state space sequence models

Update arXiv papers about Spiking Neural Networks daily.

Collect important papers about snn

Pure python implementation of SNN

[CVPR 2022] Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation