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Statistical Rethinking Course for Jan-Mar 2023
BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
Pytorch implementation of convolutional neural network visualization techniques
Code to accompany the textbook "Modeling Neural Circuits Made Simple"
Visual analysis of vector space embeddings
Paper list about multimodal and large language models, only used to record papers I read in the daily arxiv for personal needs.
Continous Phoneme Recognition based on Audio-Visual Modality Fusion
Code for a seq2seq architecture with Bahdanau attention designed to map stereotactic EEG data from human brains to spectrograms, using the PyTorch Lightning.
A self-supervised learning framework for audio-visual speech
Code for ANTS book (Cohen, 2012, MIT Press)
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"
Coursera Computational-NeuroScience course of the University of Washington
A tutorial on neuroinformatics resources for computational modellers
🎓 Path to a free self-taught education in Computer Science!
Python scripts that supplement the Coursera Computational Neuroscience course by the University of Washington
A list of schools and researchers in computational neuroscience
A publicly-editable collection of open computational neuroscience resources
NMA Computational Neuroscience course
Python code explaining how to display structural and functional fMRI data.
fMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse fMRI data. The transparent workflow dispenses of manual intervention, thereby ensuring the reproducibility of the results.
In PyTorch Learing Neural Networks Likes CNN、BiLSTM
Framework for building complex recurrent neural networks with Keras
TensorFlow Neural Machine Translation Tutorial
🤖 💬 Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)