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pydentateelife2020

pyDentate is a biophysically realistic computational model of the dentate gyrus, a hippocampal brain region associated with memory formation and a computation called pattern separation. This repository exists for computational reproducibility of Braganza et al. 2020, eLife.

pydstool

PyDSTool main development repo

pynrrd

Simple pure-python module for reading and writing nrrd files.

pytorch_forward_forward

Implementation of Hinton's forward-forward (FF) algorithm - an alternative to back-propagation

qwen

The official repo of Qwen (通义千问) chat & pretrained large language model proposed by Alibaba Cloud.

qwen-vl

The official repo of Qwen-VL (通义千问-VL) chat & pretrained large vision language model proposed by Alibaba Cloud.

redunet_paper

Official NumPy Implementation of Deep Networks from the Principle of Rate Reduction (2021)

robustlearn

Robust machine learning for responsible AI

rolellm-public

RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models

rwkv-lm

RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.

saprot

Official implementation of SaProt.

sbp

The biologically plausible self backpropagation on SNNs and ANNs

scgpt

scibert

A BERT model for scientific text.

slayerpytorch

PyTorch implementation of SLAYER for training Spiking Neural Networks

snakemake

This is the development home of the workflow management system Snakemake. For general information, see

snips-nlu

Snips Python library to extract meaning from text

snn_analysis

snn_benchmark

snn_cv_applications_resources

Paper list for SNN based computer vision tasks.

snnflow_dev_20230412

sora

The Microsoft Research Software Radio (Sora) is a programmable software radio platform based on the commodity multicore CPU in a host PC. The SDK provides the drivers, user mode 802.11a/b/n samples, and a debug plot tool.

sphinx

The Sphinx documentation generator

spiking-neural-network-snn-with-pytorch-where-backpropagation-engenders-stdp

What about coding a Spiking Neural Network using an automatic differentiation framework? In SNNs, there is a time axis and the neural network sees data throughout time, and activation functions are instead spikes that are raised past a certain pre-activation threshold. Pre-activation values constantly fades if neurons aren't excited enough.

spin

The official implementation of Self-Play Fine-Tuning (SPIN)

spyketorch

High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.

ssbm

A curated list of spiking network supervised learning benchmarks

stable-memory

state-spaces

Sequence Modeling with Structured State Spaces

synapsemodelingutility

A GUI to model synaptic recordings