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Perplexica is an AI-powered search engine. It is an Open source alternative to Perplexity AI
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
LLM based autonomous agent that conducts deep local and web research on any topic and generates a long report with citations.
GPT-Researcher as a LangChain tool to be used in Agents and Chains
GPT based autonomous agent designed to create personalized newspapers tailored to user preferences.
A simple example implementation of the VoiceRAG pattern to power interactive voice generative AI experiences using RAG with Azure AI Search and Azure OpenAI's gpt-4o-realtime-preview model.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
PyTorch original implementation of Cross-lingual Language Model Pretraining.
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"
[ACL 2021] LM-BFF: Better Few-shot Fine-tuning of Language Models https://arxiv.org/abs/2012.15723
Corpus de fake news coletado do Twitter - Brasil
Portuguese pre-trained BERT models
Comparing BERTimbau's ability to generalize models with classic techniques such as Naive Bayes or Linear SVM for detecting Fake News in Portuguese.
This is a dataset for fake news detection research
A dataset of millions of news articles scraped from a curated list of data sources.
We introduce the Fake.Br Corpus, which is composed of aligned true and fake news written in Brazilian Portuguese.
A streamlit app that uses fbprophet for forecasting COVID
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
Amazon SageMaker Solution for explaining credit decisions.
TDSP: Data science project template repository with standardized directory structure and document templates to support efficient project execution and collaboration.
Utilities and scripts developed as part of Microsoft's Team Data Science Process for productive data science
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …
The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.
Código fonte do livro Docker para desenvolvedores