AdalFlow: The library to build & auto-optimize LLM applications.

🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

A one stop repository for generative AI research updates, interview resources, notebooks and much more!

✨ Local and Fast AI Assistant. Support: Web | iOS | MacOS | Android | Linux | Windows

Inference code for Llama models

Predicting tandem mass spectra from molecules

A list of awesome AIGC works

List of all tools (apps, services) that startups should use.

Platform to experiment with the AI Software Engineer. Terminal based. NOTE: Very different from https://gptengineer.app

FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.

OpenLLaMA, a permissively licensed open source reproduction of Meta AI’s LLaMA 7B trained on the RedPajama dataset

A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)

Awesome-LLM: a curated list of Large Language Model

WebGL accelerated JavaScript molecular graphics library

Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复

A modular framework for neural networks with Euclidean symmetry

Examples and guides for using the OpenAI API

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

Artificial Intelligence Research for Science (AIRS)

Official code for Periodic Graph Transformers for Crystal Material Property Prediction (NeurIPS 2022)

ML Collections is a library of Python Collections designed for ML use cases.

Implementation of Hinton's forward-forward (FF) algorithm - an alternative to back-propagation

💻 Ability to rename desktop spaces on macOS 10.10+

Enabling PyTorch on XLA Devices (e.g. Google TPU)

Implementation of Pointer Networks using PyTorch

A latent text-to-image diffusion model

[ICML 2021] "Graph Contrastive Learning Automated" by Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang; [WSDM 2022] "Bringing Your Own View: Graph Contrastive Learning without Prefabricated Dat…

Official implementation of "Gradient-Guided Importance Sampling for Learning Binary Energy-Based Models" [ICLR2023]

Papers about graph transformers.