codeaudit Goto Github PK

duometer

Near-duplicate detection tool

dust

Design and Deploy Large Language Model Apps

dw_sa_chi

Simulated annealing solvers

dybm

Dynamic Boltzmann Machines

dynamic-coattention-network

Tensorflow implementation of Dynamic Coattention Networks for Question Answering.

dynamic-evaluation

Dynamic evaluation for pytorch language models, now includes hyperparameter tuning

dynamic-memory-networks-in-theano

Implementation of Dynamic memory networks by Kumar et al. http://arxiv.org/abs/1506.07285

dynamic_neural_manifold

dynamic_routing_between_capsules

Implementation of Dynamic Routing Between Capsules, Sara Sabour, Nicholas Frosst, Geoffrey E Hinton, NIPS 2017

dynamics

A Compositional Object-Based Approach to Learning Physical Dynamics

dynet_tutorial_examples

Tutorial on "Practical Neural Networks for NLP: From Theory to Code" at EMNLP 2016

e-snli

e-swish

Code for reproducibility of the E-swish paper experiments

e2e-model-learning

Task-based end-to-end model learning

e3

e3nn

A modular framework for neural networks with Euclidean symmetry

ealib

Evolutionary Algorithms Library

eanet

External Attention Network

earth-moving-generative-net

easy-tensorflow-on-cloud9

Hopefully the easiest way to get started with Google's TensorFlow Deep Learning Neural Network Python Library

easy-tf-log

Easy TensorFlow logging for quick prototypes

easy-to-hard

Official repository for the paper "Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks"

easyccg

easygen

easyocr

Ready-to-use OCR with 40+ languages supported including Chinese, Japanese, Korean and Thai

easystyle

All kinds of neural style transformer

easyvectorfields

Python script that generates vector fields in .fga format, which can be imported directly into Unreal Engine 4

ebgan

A tensorflow implementation of Junbo et al's Energy-based generative adversarial network ( EBGAN ) paper.

ec

ecco

Visualize and explore NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2).