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We are committed to the open-sourcing quantitative knowledge, aiming to bridge the information gap between the domestic and international quantitative finance industries. 我们致力于量化知识的开源与汉化，打破国内外量化金融行…
A curated list of Graph/Transformer-based fraud, anomaly, and outlier detection papers & resources
Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"
Classic papers and resources on recommendation
推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction
Github Pages template based upon HTML and Markdown for personal, portfolio-based websites.
BertViz: Visualize Attention in Transformer Models
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Latex code for making neural networks diagrams
Best practice and tips & tricks to write scientific papers in LaTeX, with figures generated in Python or Matlab.
Python Implementation of Reinforcement Learning: An Introduction
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
A python framework to transform natural language questions to queries in a database query language.
A natural language modeling framework based on PyTorch
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, suc…
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
TensorFlow code and pre-trained models for BERT
Fast, DB Backed pretrained word embeddings for natural language processing.
Google AI 2018 BERT pytorch implementation
The baselines used in the CoQA paper
The Natural Language Decathlon: A Multitask Challenge for NLP
Summary of deep learning models for dialog systems (Tiancheng Zhao LTI, CMU)