Name: João Carlos Néto
Type: User
Company: USP/POLI-LARC
Bio: PhD at Polytechnic, USP, Brazil, and Visiting Scholar at UCLA. Researching in homomorphic encryption, artificial intelligence, and quantum algorithm.
Location: Sao Paulo/Brazil
Blog: http://www.larc.usp.br/en/profile/joao-carlos-neto
João Carlos Néto's Projects
This repository will have different projects using AutoGen and Tutorials
Demos to implement your Databricks Lakehouse
A set of LangChain Tutorials from my youtube channel
A set of LLM Tutorials from my youtube channel
Dump all your files and thoughts into your GenerativeAI Second Brain and chat with it
Repository to collect and categorize Grammatical Error Correction papers.
nGraph-HE: Deep learning with Homomorphic Encryption (HE) through Intel nGraph
HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis
Information extraction from English and German texts based on predicate logic
Notebooks using the Hugging Face libraries 🤗
Place where folks can contribute to 🤗 community events
Pretraining, fine-tuning and evaluation scripts for Indic-Wav2Vec2
InsightSolver: Colab notebooks for exploring and solving operational issues using deep learning, machine learning, and related models.
Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
My analyses for interpretable Machine Learning
Just A Rather Very Intelligent System
Cloud-native neural search framework for 𝙖𝙣𝙮 kind of data
Long audio alignment using Kaldi
An awesome repository for knowledge-enhanced natural language understanding resources, including related papers, codes and datasets.
Minimal keyword extraction with BERT
Experimental code used in pre-training the KBIR and KeyBART models
An Open Toolkit for Knowledge Graph Extraction and Construction published at EMNLP2022 System Demonstrations
A collection of research on knowledge graphs
Building knowledge graph from input data
😎 Awesome list of tools and projects with the awesome LangChain framework