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Jiasen Lu's Projects

adaptiveattention icon adaptiveattention

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

alfred icon alfred

ALFRED - A Benchmark for Interpreting Grounded Instructions for Everyday Tasks

bottom-up-attention icon bottom-up-attention

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

cdssm icon cdssm

CDSSM implementation in torch

centernet icon centernet

Object detection, 3D detection, and pose estimation using center point detection:

clevr-dataset-gen icon clevr-dataset-gen

A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning

coco-caption icon coco-caption

Adds SPICE metric to coco-caption evaluation server codes

deeplearning-500-questions icon 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[email protected] 版权所有,违权必究 Tan 2018.06

detectron icon detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

detectron2 icon detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

dtfv icon dtfv

Fisher Vector implementation for Dense Trajectory features

easylm icon easylm

Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.

jiasenlu.github.io icon jiasenlu.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

jsoncpp icon jsoncpp

A C++ library for interacting with JSON.

ll3m icon ll3m

LL3M: Large Language and Multi-Modal Model in Jax

mlxu icon mlxu

Machine Learning eXperiment Utilities

moco icon moco

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

neuraltalk2 icon neuraltalk2

Efficient Image Captioning code in Torch, runs on GPU

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