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From scratch implementation of a sparse mixture of experts language model inspired by Andrej Karpathy's makemore :)
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
Official Repository for the Uni-Mol Series Methods
Synchrosqueezing, wavelet transforms, and time-frequency analysis in Python
A Python-embedded modeling language for convex optimization problems.
Causal Graphical Models in Python
A Python package for modular causal inference analysis and model evaluations
Facilitates searching, screening, and organizing large chemical databases
Ames mutagenicity and Lipophilicity prediction based on molecular descriptors.
Implementation of MoLeR: a generative model of molecular graphs which supports scaffold-constrained generation
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
This repository captures source code and data sets for our paper at the Causal Discovery & Causality-Inspired Machine Learning Workshop at Neural Information Processing Systems (NeurIPS) 2020.
StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.
This is the official implementation of "Everything at Once - Multi-modal Fusion Transformer for Video Retrieval". CVPR 2022
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
Siamese and triplet networks with online pair/triplet mining in PyTorch
A high-performance topological machine learning toolbox in Python
Data imputations library to preprocess datasets with missing data
Fast data visualization and GUI tools for scientific / engineering applications
LibAUC: A Deep Learning Library for X-Risk Optimization
Pytorch implementation of various Graph Neural Networks (GNNs) for graph classification
This repository contains implementations and illustrative code to accompany DeepMind publications