🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

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

Graph Neural Network Library for PyTorch

Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services

Quickly and accurately render even the largest data.

Awesome Lists for Tenure-Track Assistant Professors and PhD students. (助理教授/博士生生存指南)

gnn explainer

SkyReels-A2: Compose anything in video diffusion transformers

Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).

[ICCV'25 Best Paper Candidate] Official Implementations for Paper: Dynamic Typography: Bringing Text to Life via Video Diffusion Prior

Offline Handwritten Chinese Character Recognition based on GoogLeNet and AlexNet (With CaffeModel)

Gaussian node embeddings. Implementation of "Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking".

Automatically literature survey/review with GPT! An intelligent research assistant leveraging GPT-3.5 /GPT-4 to find, analyze, and rank relevant academic papers from Google Scholar based on user-pr…

This is the released code for our IEEE VIS19 Paper "DeepDrawing: A Deep Learning Approach to Graph Drawing".

This repository contains the code and information of datasets on reproducing the experiments in the paper "NumGPT: Improving numeracy ability of generative pre-trained models".