r-tinn

transformers

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

bert

TensorFlow code and pre-trained models for BERT

PyTorch-GAN

PyTorch implementations of Generative Adversarial Networks.

bertviz

BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)

infer

Infer.NET is a framework for running Bayesian inference in graphical models

scibert

A BERT model for scientific text.

bluebert

BlueBERT, pre-trained on PubMed abstracts and clinical notes (MIMIC-III).

snorkel-tutorials

A collection of tutorials for Snorkel

MazeExplorer

Customisable 3D environment for assessing generalisation in Reinforcement Learning.

GraphLSTM_release

Implementation of TACL 2017 paper: Cross-Sentence N-ary Relation Extraction with Graph LSTMs. Nanyun Peng, Hoifung Poon, Chris Quirk, Kristina Toutanova and Wen-tau Yih.

CollaboNet

CollaboNet for Biomedical Named Entity Recognition

ML_Net

ML-Net is a novel end-to-end deep learning framework for multi-label classification of biomedical tasks. ML-Net combines the label prediction network with a label count prediction network, which can determine the output labels based on both label confidence scores and document context in an end-to-end manner.

PyTorch-Autoencoders

Vanilla, Convolutional, VAE, Conditional VAE

DPL_release

This is for code for paper: Deep Probabilistic Logic: A Unifying Framework for Indirect Supervision, EMNLP 2018

python-pfam

Programmaing interface for Pfam database

bnn-hmc

Bayesian neural nets trained with Hamiltonian Monte Carlo

Linear-regression-on-Swedish-Auto-Insurance-dataset

InferNet-pythonnet

Example of how to combine Infer.Net with pythonnet