sepidehsaran

tueplots

Figure sizes, font sizes, fonts, and more configurations at minimal overhead. Fix your journal papers, conference proceedings, and other scientific publications.

latex-mimosis

A minimal & modern LaTeX template for your (bachelor's | master's | doctoral) thesis

awesome-mlss

🤖 Machine Learning Summer School deadlines

ML_bazaar

OxCSML research group reading groups and meetings at the Department of Statistics, University of Oxford.

awesome-ai-residency

List of AI Residency Programs

distribution-is-all-you-need

The basic distribution probability Tutorial for Deep Learning Researchers

PlotNeuralNet

Latex code for making neural networks diagrams

uncertainty-baselines

High-quality implementations of standard and SOTA methods on a variety of tasks.

uncertainty_guided_optimization

Official repository for the paper "Improving black-box optimization in VAE latent space using decoder uncertainty" (Pascal Notin, José Miguel Hernández-Lobato, Yarin Gal)

GLUE

Graph-linked unified embedding for single-cell multi-omics data integration

CATS

CATS: Customizable Abstractive Topic-based Summarization

neural_testbed

siamese-pytorch

Implementation of Siamese Networks for image one-shot learning by PyTorch, train and test model on dataset Omniglot

Facial-Similarity-with-Siamese-Networks-in-Pytorch

Implementing Siamese networks with a contrastive loss for similarity learning

omniglot

Omniglot data set for one-shot learning

ms-celeb-extractor

Extraction tool to parse MS Celeb dataset

minimal

Minimal is a Jekyll theme for GitHub Pages

bdl-benchmarks

Bayesian Deep Learning Benchmarks

DropoutUncertaintyCaffeModels

Dropout As A Bayesian Approximation: Code

DeepSEM

simdna

A python library for creating simulated regulatory DNA sequences

alphafold

Open source code for AlphaFold.

probai-2021

Materials of the Nordic Probabilistic AI School 2021.

probai-2021-pyro

Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2021 (https://probabilistic.ai/)

bavaria

Batch-adversarial variational auto-encoder (BAVARIA) for simultaneous dimensionality reduction and integration of single-cell ATAC-seq datasets

pigx_sars-cov-2

PiGx SARS-CoV-2 wastewater sequencing pipeline

PrismNet_analysis

the analysis script for PrismNet

PrismNet

Predicting dynamic cellular protein-RNA interactions using deep learning and in vivo RNA structure

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

tfp-tutorial

TensorFlow Probability Tutorial