PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
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Updated
Mar 3, 2026 - Jupyter Notebook
PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
A SOTA open-source image editing model, which aims to provide comparable performance against the closed-source models like GPT-4o and Gemini 2 Flash.
Deep Modular Co-Attention Networks for Visual Question Answering
FiLM: Visual Reasoning with a General Conditioning Layer
✨✨Latest Advances on Neuro-Symbolic Learning in the era of Large Language Models
Recent Papers including Neural Symbolic Reasoning, Logical Reasoning, Visual Reasoning, planning and any other topics connecting deep learning and reasoning
Thinking with Videos from Open-Source Priors. We reproduce chain-of-frames visual reasoning by fine-tuning open-source video models. Give it a star 🌟 if you find it useful.
[ICLR 2026]🚀ReVisual-R1 is a 7B open-source multimodal language model that follows a three-stage curriculum—cold-start pre-training, multimodal reinforcement learning, and text-only reinforcement learning—to achieve faithful, concise, and self-reflective state-of-the-art performance in visual and textual reasoning.
RAVEN: A Dataset for Relational and Analogical Visual rEasoNing
Official code for NeurIPS 2025 paper "GRIT: Teaching MLLMs to Think with Images"
[NeurIPS 2024] Official code for HourVideo: 1-Hour Video Language Understanding
Pytorch implementation of "Explainable and Explicit Visual Reasoning over Scene Graphs "
AI-powered visual reasoning tools for broadcast & ProAV. PTZ camera tracking, object detection, scene analysis using Moondream VLM. By StreamGeeks & PTZOptics.
[NeurIPS 2024] MSR3D: Multimodal Situated Reasoning in 3D Scenes
[CVPR 2022 (oral)] Bongard-HOI for benchmarking few-shot visual reasoning
[ICLR 2022] RelViT: Concept-guided Vision Transformer for Visual Relational Reasoning
Image captioning using python and BLIP
[ICLR 2026] RewardMap: Tackling Sparse Rewards in Fine-grained Visual Reasoning via Multi-Stage Reinforcement Learning
[CVPR 2026] AdaptVision: Efficient Vision-Language Models via Adaptive Visual Acquisition
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