wozhouh

LLaVA

[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

LLaMA-Factory

A WebUI for Efficient Fine-Tuning of 100+ LLMs (ACL 2024)

Chinese-LLaMA-Alpaca

中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)

Chinese-Vicuna

Chinese-Vicuna: A Chinese Instruction-following LLaMA-based Model —— 一个中文低资源的llama+lora方案，结构参考alpaca

FastChat

An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

TaskMatrix

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

voila

Voilà turns Jupyter notebooks into standalone web applications

CLIP

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

pyblur

blurring routines

spotlight

Deep recommender models using PyTorch.

pytorch-vsumm-reinforce

Unsupervised video summarization with deep reinforcement learning (AAAI'18)

FastAP-metric-learning

Code for CVPR 2019 paper "Deep Metric Learning to Rank"

awesome_ImageAesthetics

A list of Image Aesthetics papers and resources.

Alcatraz

Package manager for Xcode

visdom

A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.

TensorRT

PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT

torch2trt

An easy to use PyTorch to TensorRT converter

MPADA

The official implementation of MP_{ada} in Attention-based Multi-patch Aggregation for Image Aesthetic Assessment (MM 2018)

ava_downloader

:arrow_double_down: Download AVA dataset (A Large-Scale Database for Aesthetic Visual Analysis)

coral-cnn

Rank Consistent Ordinal Regression for Neural Networks with Application to Age Estimation

Neural-IMage-Assessment

A PyTorch Implementation of Neural IMage Assessment

image-quality-assessment

Convolutional Neural Networks to predict the aesthetic and technical quality of images.

pytorch-OpCounter

Count the MACs / FLOPs of your PyTorch model.

learning-to-reweight-examples

PyTorch Implementation of the paper Learning to Reweight Examples for Robust Deep Learning

Awesome-Learning-with-Label-Noise

A curated list of resources for Learning with Noisy Labels

featuretools

An open source python library for automated feature engineering

pytorch-metric-learning

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

Deep-Metric-Learning-Baselines

PyTorch Implementation for Deep Metric Learning Pipelines

SOLO

SOLO and SOLOv2 for instance segmentation, ECCV 2020 & NeurIPS 2020.