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title: "Documentation" author: "Eric He" date: "September 12, 2017" output: html_document
An interactive lab we prepared for NVIDIA's GPU Technology Conference 2018 that will walk you through the detection of accounting anomalies using deep autoencoder neural networks. The the lab content is based on Python, IPython Notebook, and PyTorch.
Researches for Natural Language Processing for Financial Domain
挑战杯项目：金融文本情感分析模型 || Challenge Cup Project: Financial Text Emotion Analysis Model - 金融领域短文本情感分析 - 配置要求：python 3.x
Updates for ACL 2022:
The main features of yanglinyi/finnlp-progress are: Financial NLP.
Open-source alternatives to yanglinyi/finnlp-progress include: dongyuanxin/news-emotion — 挑战杯项目：金融文本情感分析模型 || Challenge Cup Project: Financial Text Emotion Analysis Model - 金融领域短文本情感分析 - 配置要求：python 3.x. eriche98/financial-statements-text-analysis — title: "Documentation" author: "Eric He" date: "September 12, 2017" output: html_document. gitihubi/deepai — An interactive lab we prepared for NVIDIA's GPU Technology Conference 2018 that will walk you through the detection of… icoxfog417/awesome-financial-nlp — Researches for Natural Language Processing for Financial Domain. jerry1993-tech/cornucopia-llama-fin-chinese — 聚宝盆(Cornucopia): 中文金融系列开源可商用大模型，并提供一套高效轻量化的垂直领域LLM训练框架(Pretraining、SFT、RLHF、Quantize等). maydogdu/textualanalysis — Extracting sentiment from financial statements using neural networks.