115 Repositories
Python biggan-encoder Libraries
Top2Vec is an algorithm for topic modeling and semantic search.
Top2Vec is an algorithm for topic modeling and semantic search. It automatically detects topics present in text and generates jointly embedded topic, document and word vectors.
《LXMERT: Learning Cross-Modality Encoder Representations from Transformers》(EMNLP 2020)
The Most Important Thing. Our code is developed based on: LXMERT: Learning Cross-Modality Encoder Representations from Transformers
Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.
PyTorch Implementation of Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers 1 Using Colab Please notic
Understanding and Improving Encoder Layer Fusion in Sequence-to-Sequence Learning (ICLR 2021)
Understanding and Improving Encoder Layer Fusion in Sequence-to-Sequence Learning (ICLR 2021) Citation Please cite as: @inproceedings{liu2020understan
A selectional auto-encoder approach for document image binarization
The code of this repository was used for the following publication. If you find this code useful please cite our paper: @article{Gallego2019, title =
QT Py Media Knob using rotary encoder & neopixel ring
QTPy-Knob QT Py USB Media Knob using rotary encoder & neopixel ring The QTPy-Knob features: Media knob for volume up/down/mute with "qtpy-knob.py" Cir
Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet
Sockeye This package contains the Sockeye project, an open-source sequence-to-sequence framework for Neural Machine Translation based on Apache MXNet
TransGAN: Two Transformers Can Make One Strong GAN
[Preprint] "TransGAN: Two Transformers Can Make One Strong GAN", Yifan Jiang, Shiyu Chang, Zhangyang Wang
Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet
Sockeye This package contains the Sockeye project, an open-source sequence-to-sequence framework for Neural Machine Translation based on Apache MXNet
simplejson is a simple, fast, extensible JSON encoder/decoder for Python
simplejson simplejson is a simple, fast, complete, correct and extensible JSON http://json.org encoder and decoder for Python 3.3+ with legacy suppo
Ultra fast JSON decoder and encoder written in C with Python bindings
UltraJSON UltraJSON is an ultra fast JSON encoder and decoder written in pure C with bindings for Python 3.6+. Install with pip: $ python -m pip insta
Transformer-based Text Auto-encoder (T-TA) using TensorFlow 2.
T-TA (Transformer-based Text Auto-encoder) This repository contains codes for Transformer-based Text Auto-encoder (T-TA, paper: Fast and Accurate Deep
A simple command line tool for text to image generation, using OpenAI's CLIP and a BigGAN
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Ultra fast JSON decoder and encoder written in C with Python bindings
UltraJSON UltraJSON is an ultra fast JSON encoder and decoder written in pure C with bindings for Python 3.6+. Install with pip: $ python -m pip insta
Yet Another Sequence Encoder - Encode sequences to vector of vector in python !
Yase Yet Another Sequence Encoder - encode sequences to vector of vectors in python ! Why Yase ? Yase enable you to encode any sequence which can be r