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actor

Official Pytorch implementation of the paper "Action-Conditioned 3D Human Motion Synthesis with Transformer VAE", ICCV 2021

aligning-time-series

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

bindsnet

Simulation of spiking neural networks (SNNs) using PyTorch.

decision-transformer

Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

lfads

mid01

models

Models and examples built with TensorFlow

nlb_workshop

ozechallenge_benchmark

perceiver-pytorch

Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch

pyjuliusalign

One-button-press forced aligner for Japanese, using Julius.

python-intermediate-inflammation

A template software project for use in Intermediate Research Software Development Skills In Python course. Contact: @jag1g13

python-intermediate-inflammation-araya

python-intermediate-inflammation-araya-2023-10-05

pytorch-transfomer

My implementation of the transformer architecture from the Attention is All you need paper applied to time series.

pytorch_advanced

書籍「つくりながら学ぶ! PyTorchによる発展ディープラーニング」の実装コードを配置したリポジトリです

reconcilingemergences

Measures of causal emergence from multivariate time series data.

snn-from-scratch-with-python

snn_from_scratch

本サンプルコードは「ゼロから学ぶスパイキングニューラルネットワーク」で取り扱っているコードをまとめたものです．

snsbook

Sample codes in the book "Introduction to Spiking Network Simulation"

transformer

Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.

transformer-for-eeg

modify self-attention model for EEG signal as input and image embedding layer as output

transformer-time-series-prediction

proof of concept for a transformer-based time series prediction model

visiontransformer

vit-pytorch

world-models

Reimplementation of World-Models (Ha and Schmidhuber 2018) in pytorch