PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

Code for visualizing the loss landscape of neural nets

Python package built to ease deep learning on graph, on top of existing DL frameworks.

Heterogeneous Pre-trained Transformer (HPT) as Scalable Policy Learner.

✨✨Latest Advances on Multimodal Large Language Models

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

A repository dedicated to evaluating the performance of quantizied LLaMA3 using various quantization methods..

This project is the official implementation of our accepted NeurIPS 2023 (spotlight) paper QuantSR: Accurate Low-bit Quantization for Efficient Image Super-Resolution.

explore DNNs via Infomration

We introduce a novel approach for parameter generation, named neural network parameter diffusion (p-diff), which employs a standard latent diffusion model to synthesize a new set of parameters

[ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retention

[ICML 2024] BiLLM: Pushing the Limit of Post-Training Quantization for LLMs

⏰ AI conference deadline countdowns

Awesome Diffusion Models in Low-Level Vision

A list of papers, docs, codes about efficient AIGC. This repo is aimed to provide the info for efficient AIGC research, including language and vision, we are continuously improving the project. Wel…

[NeurIPS 2023 Spotlight] This project is the official implementation of our accepted NeurIPS 2023 (spotlight) paper QuantSR: Accurate Low-bit Quantization for Efficient Image Super-Resolution.

Code and documents of LongLoRA and LongAlpaca (ICLR 2024 Oral)

AI and Memory Wall

How Good is Google Bard's Visual Understanding? An Empirical Study on Open Challenges

QLoRA: Efficient Finetuning of Quantized LLMs

[ICML 2023] This project is the official implementation of our accepted ICML 2023 paper BiBench: Benchmarking and Analyzing Network Binarization.

A collection of resources and papers on Diffusion Models

This project is the official implementation of our accepted IEEE TPAMI paper Diverse Sample Generation: Pushing the Limit of Data-free Quantization

OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

Pytorch implementation of BiFSMNv2, TNNLS 2023

Reverse engineered ChatGPT API

Training code of Spatial Time Memory Network. Semi-supervised video object segmentation.

training script for space time memory network