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NMA Computational Neuroscience course

Jupyter Notebook 2,706 1,001 Updated Nov 15, 2024

📐 Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external libs usage.

Python 3,432 251 Updated Sep 9, 2024

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

Python 57,946 5,911 Updated Aug 24, 2024

Pretrained TorchVision models on CIFAR10 dataset (with weights)

Python 656 155 Updated Jun 24, 2023

Deep Clustering for Unsupervised Learning of Visual Features

Python 1,700 324 Updated Oct 12, 2021

A simple way to calibrate your neural network.

Python 1,124 161 Updated Aug 24, 2021

Code & data accompanying the KDD 2017 paper "KATE: K-Competitive Autoencoder for Text"

Python 142 48 Updated Apr 17, 2023

Mixture-of-Embeddings-Experts

Python 119 15 Updated Jul 21, 2020

🐍 An improved Python library to control i3wm and sway.

Python 861 109 Updated Jan 28, 2024

Dotfiles for my old linux systems

Shell 10 1 Updated Jun 16, 2024

My personal dotfiles (how do these have so many stars?)

Vim Script 635 95 Updated Mar 11, 2022

Meta package for the Regolith Desktop Environment

1,524 31 Updated Dec 24, 2024

Rich is a Python library for rich text and beautiful formatting in the terminal.

Python 50,348 1,760 Updated Dec 2, 2024

Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.

Python 130 34 Updated Aug 22, 2020

a medium inspired jekyll theme

HTML 811 877 Updated May 28, 2024

Interpretability Methods for tf.keras models with Tensorflow 2.x

Python 1,020 111 Updated Jun 3, 2024

Pytorch Lightning code guideline for conferences

Python 1,245 272 Updated Sep 20, 2023

This is where I put all my work in Natural Language Processing

Python 96 47 Updated Jun 26, 2021

Deep Embedded Clustering with Data Augmentation (DEC-DA). Performance on MNIST (acc=0.985, nmi=0.960).

Python 55 19 Updated Feb 28, 2019

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Jupyter Notebook 27,120 7,905 Updated Jun 25, 2024

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

Python 2,913 464 Updated Apr 22, 2023

A Python Package for Density Ratio Estimation

Python 130 30 Updated Aug 27, 2023

Super easy library for BERT based NLP models

Python 1,877 340 Updated Aug 19, 2024

Layers Outputs and Gradients in Keras. Made easy.

Python 1,053 188 Updated Aug 14, 2024

Simple and easily configurable grid world environments for reinforcement learning

Python 2,160 615 Updated Jan 13, 2025

Attributing predictions made by the Inception network using the Integrated Gradients method

Jupyter Notebook 607 102 Updated Feb 23, 2022

Make huge neural nets fit in memory

Python 2,747 272 Updated Apr 26, 2020

To Trust Or Not To Trust A Classifier. A measure of uncertainty for any trained (possibly black-box) classifier which is more effective than the classifier's own implied confidence (e.g. softmax pr…

Jupyter Notebook 174 43 Updated Mar 23, 2023

Experiments towards neural network theorem proving

C++ 788 138 Updated Dec 5, 2020

A technical report on convolution arithmetic in the context of deep learning

TeX 14,162 2,295 Updated Jun 8, 2023
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