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GPT4Tools is an intelligent system that can automatically decide, control, and utilize different visual foundation models, allowing the user to interact with images during a conversation.
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
Official Code for DragGAN (SIGGRAPH 2023)
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Train transformer language models with reinforcement learning.
Google AI 2018 BERT pytorch implementation
[AAAI 2024] Mab2Rec: Multi-Armed Bandits Recommender
ROADMAP(Mind Map) and KEYWORD for students those who have interest in learning NLP
🎓 Sharing machine learning course / lecture notes.
This repository holds slides and code for a full Bayesian statistics graduate course.
🐍 Quick reference guide to common patterns & functions in PySpark.
A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.
This is Andrew NG Coursera Handwritten Notes.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…
Uncertainty Guided Progressive GANs for Medical Image Translation
PyTorch CZSL framework containing GQA, the open-world setting, and the CGE and CompCos methods.
A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart manufacturing, and more.
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
🟠 A study guide to learn about Graph Neural Networks (GNNs)
CS224W Stanford Winter 2021 Homework solutions
A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
Graph Neural Network Library for PyTorch
A resource for learning about Machine learning & Deep Learning