Official implementation of our paper, CoACT

Official implementation of our ECCV'24 paper, "Improving 3D Semi-supervised Learning by Effectively Utilizing All Unlabelled Data".

GNN-RAG: Graph Neural Retrieval for Large Language Modeling Reasoning

[Official Repo] Visual Mamba: A Survey and New Outlooks

CLIP-like model evaluation

LLaVA-HR: High-Resolution Large Language-Vision Assistant

🔥🔥 LLaVA++: Extending LLaVA with Phi-3 and LLaMA-3 (LLaVA LLaMA-3, LLaVA Phi-3)

CoreNet: A library for training deep neural networks

[CVPR 2024] ViT-Lens: Towards Omni-modal Representations

[ICLR'24] Consistency-guided Prompt Learning for Vision-Language Models

DualNet is a residual MLP network for 3D Point Cloud classification. Published in The Visual Computer Journal (2023).

[AAAI'24] Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data

🔥🔥🔥Latest Papers, Codes and Datasets on Vid-LLMs.

【ICLR 2024🔥】 Extending Video-Language Pretraining to N-modality by Language-based Semantic Alignment

MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvements in both training algorithms and models.

An open-source implementation of Google's PaLM models

TensorFlow port of PyTorch Image Models (timm) - image models with pretrained weights.

Painter & SegGPT Series: Vision Foundation Models from BAAI

[NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"

Official implementation of our CRV'23 paper, "CrossMoCo: Multi-modal Momentum Contrastive Learning for Point Cloud"

Instruction Tuning with GPT-4

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

🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

pyrelational is a python active learning library for rapidly implementing active learning pipelines from data management, model development (and Bayesian approximation), to creating novel active le…

Official implementation of our ICPR workshop (S+SSPR'22) paper, "Improved Training for 3D Point Cloud Classification".

Train transformer language models with reinforcement learning.

Audio generation using diffusion models, in PyTorch.

This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classifiers".

Latex code for making neural networks diagrams