![pytorch logo](https://raw.githubusercontent.com/github/explore/224672533a7f836ad6bf142e4dee61217cfc100e/topics/pytorch/pytorch.png)
-
Federal University of Minas Gerais, Brazil
- Belo Horizonte
- in/souzacamposdaniel
Highlights
- Pro
Block or Report
Block or report Pendulun
Contact GitHub support about this user’s behavior. Learn more about reporting abuse.
Report abuseLanguage
Sort by: Recently starred
Starred repositories
High-quality datasets, tools, and concepts for LLM fine-tuning.
A WebUI for Efficient Fine-Tuning of 100+ LLMs (ACL 2024)
📋 A list of open LLMs available for commercial use.
Documentation for Google's Gen AI site - including the Gemini API and Gemma
Adversarial Natural Language Inference Benchmark
Notebooks with examples and demos of segyio
♾️ CML - Continuous Machine Learning | CI/CD for ML
A massively parallel, high-level programming language
A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold N…
DSPy: The framework for programming—not prompting—foundation models
Awesome-LLM-RAG: a curated list of advanced retrieval augmented generation (RAG) in Large Language Models
Continual Learning tutorials and demo running on Google Colaboratory.
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Awesome-LLM: a curated list of Large Language Model
📺 Discover the latest machine learning / AI courses on YouTube.
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022
This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)
A scikit-learn compatible neural network library that wraps PyTorch
🔥Highlighting the top ML papers every week.
Imbalanced Learning Regression
A curated list of Large Language Model (LLM) Interpretability resources.
A curated list of the latest breakthroughs in AI (in 2023) by release date with a clear video explanation, link to a more in-depth article, and code.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Continual Learning papers list, curated by ContinualAI
Lab assignments for Introduction to Data-Centric AI, MIT IAP 2024 👩🏽💻