【CVPR 2024 Highlight】Monkey (LMM): Image Resolution and Text Label Are Important Things for Large Multi-modal Models

A framework for the evaluation of autoregressive code generation language models.

The code repository for "Wings: Learning Multimodal LLMs without Text-only Forgetting" [NeurIPS 2024]

The code repository for "OmniEvalKit: A Modular, Lightweight Toolbox for Evaluating Large Language Model and its Omni-Extensions"

The code repository for "Wings: Learning Multimodal LLMs without Text-only Forgetting" [NeurIPS 2024]

Less is More: Mitigating Multimodal Hallucination from an EOS Decision Perspective (ACL 2024)

Narrative movie understanding benchmark

Learning Descriptive Image Captioning via Semipermeable Maximum Likelihood Estimation (NeurIPS 2023)

🦜🔗 Build context-aware reasoning applications

ZhiJian: A Unifying and Rapidly Deployable Toolbox for Pre-trained Model Reuse

Gradient Boosted Neural Network

The code repository for "A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning" (ICLR'23) in PyTorch

Let us control diffusion models!

Awesome Compatible Learning

Ultralytics YOLO11 🚀

OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.

PyTorch implementation of popular datasets and models in remote sensing

Reverse engineered ChatGPT API

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

❄️🔥 Visual Prompt Tuning [ECCV 2022] https://arxiv.org/abs/2203.12119

PyTorch implementation of "How to Train Your MAML to Excel in Few-Shot Classification"

A collection of papers on the topic of ``Computer Vision in the Wild (CVinW)''

30 Semi-Supervised Learning Algorithms

The official code repository for "Revisiting Unsupervised Meta-Learning via the Characteristics of Few-Shot Tasks" (TPAMI 2023) in PyTorch.

Compute rankings in Python.

FFCV: Fast Forward Computer Vision (and other ML workloads!)

The code repository for "Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks" (TPAMI 2023) in PyTorch.

An implementation of Markov Chain Type 4 Rank Aggregation algorithm in Python