alvinmingsf

alvinmingsf's Stars

• jiayuww/SpatialEval

  [NeurIPS'24] SpatialEval: a benchmark to evaluate spatial reasoning abilities of MLLMs and LLMs

  Language:Python3

• huggingface/trl

  Train transformer language models with reinforcement learning.

  Language:Python10k1.3k

• SalesforceAIResearch/GemFilter

  Language:Python626

• SalesforceAIResearch/FaithEval

  212

• AtsuMiyai/UPD

  Unsolvable Problem Detection: Evaluating Trustworthiness of Vision Language Models

  Language:Python694

• yizhongw/self-instruct

  Aligning pretrained language models with instruction data generated by themselves.

  Language:Python4.1k487

• deeplearning-wisc/hypo

  Language:Python15

• sgl-project/sglang

  SGLang is a fast serving framework for large language models and vision language models.

  Language:Python5.9k486

• rom1504/img2dataset

  Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.

  Language:Python3.7k338

• lukas-blecher/LaTeX-OCR

  pix2tex: Using a ViT to convert images of equations into LaTeX code.

  Language:Python12.6k1k

• CASIA-IVA-Lab/AnomalyGPT

  [AAAI 2024 Oral] AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models

  Language:Python807100

• sungnyun/openssl-simcore

  (CVPR 2023) Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning

  Language:Python258

• dvlab-research/MOOD

  Official PyTorch implementation of MOOD series: (1) MOODv1: Rethinking Out-of-distributionDetection: Masked Image Modeling Is All You Need. (2) MOODv2: Masked Image Modeling for Out-of-Distribution Detection.

  Language:Python1336

• naver-ai/cl-vs-mim

  (ICLR 2023) Official PyTorch implementation of "What Do Self-Supervised Vision Transformers Learn?"

  Language:Jupyter Notebook1018

• XiaoxinHe/Awesome-Graph-LLM

  A collection of AWESOME things about Graph-Related LLMs.

  1.8k129

• princeton-vl/infinigen

  Infinite Photorealistic Worlds using Procedural Generation

  Language:Python5.4k466

• jindongwang/transferlearning

  Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

  Language:Python13.4k3.8k

• mlfoundations/open_clip

  An open source implementation of CLIP.

  Language:Python10.2k979

• easydiffusion/easydiffusion

  Easiest 1-click way to create beautiful artwork on your PC using AI, with no tech knowledge. Provides a browser UI for generating images from text prompts and images. Just enter your text prompt, and see the generated image.

  Language:JavaScript9.6k794

• ivanpanshin/SupCon-Framework

  Implementation of Supervised Contrastive Learning with AMP, EMA, SWA, and many other tricks

  Language:Python16621

• AUTOMATIC1111/stable-diffusion-webui

  Stable Diffusion web UI

  Language:Python143k26.9k

• fengdu78/lihang-code

  《统计学习方法》的代码实现

  Language:Jupyter Notebook19k6.3k

• lllyasviel/ControlNet

  Let us control diffusion models!

  Language:Python30.3k2.7k

• deeplearning-wisc/vit-spurious-robustness

  Language:Python244

• deeplearning-wisc/cider

  PyTorch implementation of CIDER (How to exploit hyperspherical embeddings for out-of-distribution detection), ICLR 2023

  Language:Python547

• Jingkang50/OODSurvey

  The Official Repository for "Generalized OOD Detection: A Survey"

  Language:Jupyter Notebook44639

• hjbahng/visual_prompting

  Exploring Visual Prompts for Adapting Large-Scale Models

  Language:Python26530

• deeplearning-wisc/MCM

  PyTorch implementation of MCM (Delving into out-of-distribution detection with vision-language representations), NeurIPS 2022

  Language:Python729

• jwasham/coding-interview-university

  A complete computer science study plan to become a software engineer.

  307k76.8k

• hongxin001/logitnorm_ood

  Official code for ICML 2022: Mitigating Neural Network Overconfidence with Logit Normalization

  Language:Python14214