zhoushaojun Goto Github PK

adversarialnetspapers

The classical papers and codes about generative adversarial nets

algorithm

algorithms

Minimal examples of data structures and algorithms in Python

allpythonskearntensorflow

attention-nmt

A simple implementation of attention based encoder-decoder for nmt.

awesome-deep-learning-papers-for-search-recommendation-advertising

Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.

benchmarks

Benchmark code

bert

TensorFlow code and pre-trained models for BERT

bert-qa

BERT for question answering starting with HotpotQA

chatglm3

ChatGLM3 series: Open Bilingual Chat LLMs | 开源双语对话语言模型

commons-lang

Mirror of Apache Commons Lang

cpt

CPT: A Pre-Trained Unbalanced Transformer for Both Chinese Language Understanding and Generation

ctc_pytorch

CTC end -to-end ASR for timit and 863 corpus.

ctc_tensorflow_example

CTC + Tensorflow Example for ASR

dcrnn

Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow

deep-learning

deeplearning

深度学习相关的模型训练、评估和预测相关代码

deepmatch

A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors for user and item which can be used for ANN search.

deepnlp

Deep Learning NLP Pipeline implemented on Tensorflow

dlcv_book_pretrained_caffe_models

dlcv_for_beginners

《深度学习与计算机视觉》配套代码

elmo_chin

use ELMo in chinese environment

gan

Demostrate generative adversarial networks (GAN) technology in generating anddescriminate time-sequence, using Tensorflow to implement

gat

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

gbdt

Gradient boosting decision trees.

gbdt_simple_tutorial

python实现GBDT的回归、二分类以及多分类，将算法流程详情进行展示解读并可视化，庖丁解牛地理解GBDT。Gradient Boosting Decision Trees regression, dichotomy and multi-classification are realized based on python, and the details of algorithm flow are displayed, interpreted and visualized to help readers better understand Gradient Boosting Decision

gcn

Implementation of Graph Convolutional Networks in TensorFlow

geneticalgorithm

遗传算法的JS实现

gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

huatuo-llama-med-chinese

Repo for HuaTuo (华驼), Llama-7B tuned with Chinese medical knowledge. 华驼模型仓库，基于中文医学知识的LLaMA模型指令微调