Popular GitHub Repositories for Sentiment Analysis Amazon Reviews

Build and share delightful machine learning apps, all in Python. ? Star to support our work!

Easily train a good VC model with voice data <= 10 mins!

Roadmap to becoming an Artificial Intelligence Expert in 2022

Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

SoftVC VITS Singing Voice Conversion

State-of-the-art 2D and 3D Face Analysis Project

? A ranked list of awesome machine learning Python libraries. Updated weekly.

Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.

A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python

Turns Data and AI algorithms into production-ready web applications in no time.

A toolkit for making real world machine learning and data analysis applications in C++

? Easy-to-use and powerful NLP and LLM library with ? Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including ?Text Classification, ? Neural Search, ? Question Answering, ?? Information Extraction, ? Document Intelligence, ? Sentiment Analysis etc.

A reference containing Styles and Keywords that you can use with MidJourney AI. There are also pages showing resolution comparison, image weights, and much more!

人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

Example ? Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using ? Amazon SageMaker.

Open Machine Learning Course

CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.

A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques