Jiasen Lu

NeuralBabyTalk. Pytorch code of for our CVPR 2018 paper "Neural Baby Talk"

vilbert_beta. Jupyter Notebook

HieCoAttenVQA. Jupyter Notebook

AdaptiveAttention. Implementation of "Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning"

visDial.pytorch. visual dialog model in pytorch

LL3M. LL3M: Large Language and Multi-Modal Model in Jax

CDSSM. CDSSM implementation in torch

bottom-up-attention. Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome

YOLOv3.pytorch. Pytorch implementation of Yolo V3

coco-caption. Adds SPICE metric to coco-caption evaluation server codes

vit-vqgan-jax. Jax implementation of VIT-VQGAN

Ad-Hoc-alg-simulation. Basic simulation code included AODV, LAR, GRID and our approach, GAR

bottom-up-attention-vqa. An efficient PyTorch implementation of the winning entry of the 2017 VQA Challenge.

wordvec_image. Use image as global context to train word vector

DeepLearning-500-questions. 深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

self-critical.pytorch. Unofficial pytorch implementation for Self-critical Sequence Training for Image Captioning

lr-gan.pytorch. Python

faster-rcnn.pytorch. A faster pytorch implementation of faster r-cnn