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Hallo: Hierarchical Audio-Driven Visual Synthesis for Portrait Image Animation

SDG is a specialized framework designed to generate high-quality structured tabular data.

Reasoning in Large Language Models: Papers and Resources, including Chain-of-Thought, Instruction-Tuning and Multimodality.

Minimalist ML framework for Rust

北京航空航天大学大数据高精尖中心自然语言处理研究团队开展了智能问答的研究与应用总结。包括基于知识图谱的问答（KBQA），基于文本的问答系统（TextQA），基于表格的问答系统（TableQA）、基于视觉的问答系统（VisualQA）和机器阅读理解（MRC）等，每类任务分别对学术界和工业界进行了相关总结。

Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.

Awesome-LLM-3D: a curated list of Multi-modal Large Language Model in 3D world Resources

Ongoing research training transformer models at scale

Attention Is All You Need | a PyTorch Tutorial to Transformers

Annotated version of the Mamba paper

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

Probabilistic time series modeling in Python

🪢 Open source LLM engineering platform: Observability, metrics, evals, prompt management, playground, datasets. Integrates with LlamaIndex, Langchain, OpenAI SDK, LiteLLM, and more. 🍊YC W23

Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"

This repository contains my solutions to the assignments for Stanford's CS231n "Convolutional Neural Networks for Visual Recognition" (Spring 2020).

[ICLR 2024] Evaluating Large Language Models at Evaluating Instruction Following

ACL 2022: BRIO: Bringing Order to Abstractive Summarization

Recent advancements propelled by large language models (LLMs), encompassing an array of domains including Vision, Audio, Agent, Robotics, and Fundamental Sciences such as Mathematics.

SAIL: Search Augmented Instruction Learning

Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)

What would you do with 1000 H100s...

A trend starts from "Chain of Thought Prompting Elicits Reasoning in Large Language Models".

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

An elegant PyTorch deep reinforcement learning library.

Build large language model (LLM) apps with Python, ChatGPT and other models. This is the companion repository for the book on generative AI with LangChain.

Open-source tools for prompt testing and experimentation, with support for both LLMs (e.g. OpenAI, LLaMA) and vector databases (e.g. Chroma, Weaviate, LanceDB).

A blazing fast inference solution for text embeddings models