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attention-is-all-you-need-pytorch

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

awesome-visual-representation-learning-with-transformers

Awesome Transformers (self-attention) in Computer Vision

cbam.pytorch

Non-official implement of Paper：CBAM: Convolutional Block Attention Module

chemprop

Chemical Property Prediction with Graph Convolutional Networks

cnn-surrogate

Bayesian deep convolutional encoder-decoder networks for surrogate modeling and uncertainty quantification

deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

deepgp

Deep Gaussian Processes in matlab

edward

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

electricitypriceprediction

This is the final project following my time at Flatirons Data Science bootcamp. It uses Neural Networks (and other machine learning methods) to predict the day ahead electricity price, and modelled a basic battery function to extract value

gluon-ts

GluonTS - Probabilistic Time Series Modeling in Python

hpbandster

a distributed Hyperband implementation on Steroids

image_transformer

Pytorch implementation of the image transformer for unconditional image generation

isl-ridge-lasso

machine-learning-session

matlab-deep-learning

Source code for 'MATLAB Deep Learning' by Phil Kim

mldemos

MLDemos software

phate

PHATE (Potential of Heat-diffusion for Affinity-based Transition Embedding) is a tool for visualizing high dimensional data.

pretrain-gnns

Strategies for Pre-training Graph Neural Networks

pytorch-fm

Factorization Machine models in PyTorch

red_cnn

Pytorch Implementation of Low-Dose CT with a Residual Encoder-Decoder Convolutional Neural Network (RED-CNN)

scikit-hyperband

A scikit-learn compatible implementation of hyperband

swinir

SwinIR: Image Restoration Using Swin Transformer

tactex

tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

tsai

Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

tsbngen

uncertainty-toolbox

A python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization

unilm

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities