htqin

Open-Assistant

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

ChatGPT

Reverse engineered ChatGPT API

tvm

Open deep learning compiler stack for cpu, gpu and specialized accelerators

Awesome-Diffusion-Models

A collection of resources and papers on Diffusion Models

qlora

QLoRA: Efficient Finetuning of Quantized LLMs

MNN

MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba

distiller

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

alphatensor

LongLoRA

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

PaddleSlim

PaddleSlim is an open-source library for deep model compression and architecture search.

deep-finance

Datasets, papers and books on AI & Finance.

mmhuman3d

OpenMMLab 3D Human Parametric Model Toolbox and Benchmark

AvatarCLIP

[SIGGRAPH 2022 Journal Track] AvatarCLIP: Zero-Shot Text-Driven Generation and Animation of 3D Avatars

ReActNet

ReActNet: Towards Precise Binary NeuralNetwork with Generalized Activation Functions. In ECCV 2020.

ai_and_memory_wall

AI and Memory Wall

Training-Code-of-STM

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

RobustART

The first comprehensive Robustness investigation benchmark on large-scale dataset ImageNet regarding ARchitecture design and Training techniques towards diverse noises.

awesome-efficient-aigc

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. Welcome to PR the works (papers, repositories) that are missed by the repo.

STM-Training

training script for space time memory network

BiBERT

This project is the official implementation of our accepted ICLR 2022 paper BiBERT: Accurate Fully Binarized BERT.

BiPointNet

This project is the official implementation of our accepted ICLR 2021 paper BiPointNet: Binary Neural Network for Point Clouds.

OPIXray

BiBench

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

QuantSR

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

GoogleBard-VisUnderstand

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

BiFSMNv2

Pytorch implementation of BiFSMNv2, TNNLS 2023

BiFSMN

Pytorch implementation of BiFSMN, IJCAI 2022

DSG

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

service-frontend

AeriePlatform

Aerie ADS-B Data Analysis Platform