Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

Scripts for fine-tuning Meta Llama with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting…

Tacotron 2 - PyTorch implementation with faster-than-realtime inference

Acceptance rates for the major AI conferences

[ICLR 2023] ReAct: Synergizing Reasoning and Acting in Language Models

Unofficial Parallel WaveGAN (+ MelGAN & Multi-band MelGAN & HiFi-GAN & StyleMelGAN) with Pytorch

Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning

Codes for "Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models".

🔦 A Pytorch implementation of GoogleBrain's SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition

ToolQA, a new dataset to evaluate the capabilities of LLMs in answering challenging questions with external tools. It offers two levels (easy/hard) across eight real-life scenarios.

Implementation of Reinforcement Learning algorithms in Python, based on Sutton's & Barto's Book (Ed. 2)

🔗 LINC: Logical Inference via Neurosymbolic Computation [EMNLP2023]

The repository of the project "Fine-tuning Large Language Models with Sequential Instructions", code base comes from open-instruct and LAVIS

An official repository for tutorials of Probabilistic Modelling and Reasoning (2023/2024) - a University of Edinburgh master's course.