An open-source academic paper management tool.
A curated list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.
人工智能学习资料超全整理，包含机器学习基础ML、深度学习基础DL、计算机视觉CV、自然语言处理NLP、推荐系统、语音识别、图神经网路、算法工程师面试题
[ACL 2026] Towards Efficient Large Language Model Serving: A Survey on System-Aware KV Cache Optimization
Unofficial implementation of asm2vec using pytorch ( with GPU acceleration )
An Introduction to reinforcement learning in the era of large language models
Including Knowledge Graph and Neural Language Processing (especially information extraction) papers from 20 top conferences:
A TensorFlow implement for "A Stack-Propagation Framework with Token-Level Intent Detection for Spoken Language Understanding".
A Flask web app that classifies text as AI-generated or human-written, showing confidence scores and feature-based explanations.
NeuralNine is an educational brand focusing on programming, machine learning and computer science in general! Let's develop brains!
Stylometric + semantic ensemble for attributing AI-generated text to ChatGPT, Claude, Gemini, or Grok — and measuring how well that signal survives LLM-based rewriting. Includes a live Gradio demo.
Get Powerful quotes on your phone or pc!!! NLP WEB APP
Análisis y modelado de quejas bancarias utilizando Spark-NLP, AWS EMRStudio. Aplicación con Streamlit y Docker para clasificar las quejas bancarias
Utilizes Logistic Regression for automatic categorization of user comments into positive or negative sentiments. Ideal for gauging customer feedback, monitoring social media sentiment, and analyzing user comments. A robust solution for sentiment classification.
A survey of machine learning papers.
Machine Learning Resources
Natural Language Processing project that performs sentiment analysis on text reviews using machine learning. Includes text preprocessing, feature extraction using TF-IDF, model training with Logistic Regression, and evaluation using Python and scikit-learn
record my reading papers and reproduction code.
Production-grade news topic classification web app fine-tuned on BERT Base and built with Streamlit.
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