dandanmylady's Stars
togethercomputer/OpenChatKit
AdeDZY/DeepCT
DeepCT and HDCT uses BERT to generate novel, context-aware bag-of-words term weights for documents and queries.
brohrer/parameter_efficiency_leaderboard
The most parameter efficient machine learning models on a few popular benchmarks
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
secretbis/tbcsim
A DPS simulator for World of Warcraft: The Burning Crusade
RUCAIBox/TextBox
TextBox 2.0 is a text generation library with pre-trained language models
IndigoResearch/textteaser
Official version of TextTeaser.
guotong1988/BERT-GPU
multi-gpu pre-training in one machine for BERT from scratch without horovod (Data Parallelism)
luozhouyang/matchpyramid
MatchPyramid implementation in tensorflow 2.x (Keras).
sebastian-hofstaetter/matchmaker
Training & evaluation library for text-based neural re-ranking and dense retrieval models built with PyTorch
shenweichen/DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
ptorrestr/py_krovetz
Krovetz Stemmer
QingyaoAi/Unbiased-Learning-to-Rank-with-Unbiased-Propensity-Estimation
This is an implementation of the Dual Learning Algorithm with multi-layer feed-forward neural network for online unbiased learning to rank.
ULTR-Community/ULTRA
Unbiased Learning To Rank Algorithms (ULTRA)
ChenglongChen/tensorflow-LTR
Tensorflow implementations of various Learning to Rank (LTR) algorithms.
timhul/ClassicSim
An event-driven simulation tool written in C++ for World of Warcraft Classic.
sebastianruder/NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
jacobeisenstein/gt-nlp-class
Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"
scikit-learn-contrib/imbalanced-learn
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
scutan90/DeepLearning-500-questions
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
marcotcr/lime
Lime: Explaining the predictions of any machine learning classifier
jtoy/awesome-tensorflow
TensorFlow - A curated list of dedicated resources http://tensorflow.org
dandanmylady/2019_new_tax_calculator
2019 累计预扣 个税计算器
xchaoinfo/fuck-login
模拟登录一些知名的网站,为了方便爬取需要登录的网站
hongleizhang/RSPapers
RSTutorials: A Curated List of Must-read Papers on Recommender System.
gabrielspmoreira/chameleon_recsys
Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems
dhwajraj/deep-siamese-text-similarity
Tensorflow based implementation of deep siamese LSTM network to capture phrase/sentence similarity using character/word embeddings
dmlc/gluon-nlp
NLP made easy
clab/dynet
DyNet: The Dynamic Neural Network Toolkit
ray-project/ray
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.