wenbotse

KwaiAgents

A generalized information-seeking agent system with Large Language Models (LLMs).

addons

Useful extra functionality for TensorFlow 2.x maintained by SIG-addons

keras-contrib

Keras community contributions

keras-crf-layer

Implementation of CRF layer in Keras.

crf

keras implementation of conditional random field

MTBook

《机器翻译：基础与模型》肖桐 朱靖波 著 - Machine Translation: Foundations and Models

icwb2-data

This directory contains the training, test, and gold-standard data used in the 2nd International Chinese Word Segmentation Bakeoff. Also included is the script used to score the results submitted by the bakeoff participants and the simple segmenter used to generate the baseline and topline data.

Depend

lightweight dependency injection framework

TensorFlow_Engineering_Implementation

The source code and dataset about <Deep Learning - Best Practices on TensorFlow Engineering Implementation>

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

gcn

Implementation of Graph Convolutional Networks in TensorFlow

Soft-Masked-BERT

GraphSAGE

Representation learning on large graphs using stochastic graph convolutions.

stellargraph

StellarGraph - Machine Learning on Graphs

OpenKE

An Open-Source Package for Knowledge Embedding (KE)

KB2E

Knowledge Graph Embeddings including TransE, TransH, TransR and PTransE

relational-gcn

Keras-based implementation of Relational Graph Convolutional Networks

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

GraphNeuralNetwork

Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.

Distill-BERT-Textgen

Research code for ACL 2020 paper: "Distilling Knowledge Learned in BERT for Text Generation".

bert_distill

BERT distillation（基于BERT的蒸馏实验 ）

PreHash

multi-task-NLP

multi_task_NLP is a utility toolkit enabling NLP developers to easily train and infer a single model for multiple tasks.

neural_name_tagging

Code for "Reliability-aware Dynamic Feature Composition for Name Tagging" (ACL2019)

UGATIT

Official Tensorflow implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation (ICLR 2020)

transformer-pointer-generator

A Abstractive Summarization Implementation with Transformer and Pointer-generator

dssm

Deep structured semantic model

dssm

DSSM and Multi-View DSSM

Deep-Semantic-Similarity-Model

My Keras implementation of the Deep Semantic Similarity Model (DSSM)/Convolutional Latent Semantic Model (CLSM) described here: http://research.microsoft.com/pubs/226585/cikm2014_cdssm_final.pdf.

focal-loss-keras

Focal Loss implementation in Keras