jiasenlu

NeuralBabyTalk

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

vilbert_beta

HieCoAttenVQA

visDial.pytorch

visual dialog model in pytorch

LL3M

LL3M: Large Language and Multi-Modal Model in Jax

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

vit-vqgan-jax

Jax implementation of VIT-VQGAN

bottom-up-attention-vqa

An efficient PyTorch implementation of the winning entry of the 2017 VQA Challenge.

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

alfred

ALFRED - A Benchmark for Interpreting Grounded Instructions for Everyday Tasks

CenterNet

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

Detectron

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

detectron2

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

EasyLM

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

iter-reason

Code for Iterative Reasoning Paper (CVPR 2018)

jiasenlu.github.io

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

mesh-transformer-jax

Model parallel transformers in JAX and Haiku

mlxu

Machine Learning eXperiment Utilities

moco

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

ok-vqa-result

OpenLongTailRecognition-OLTR

Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)

pythia

A modular framework for Visual Question Answering research by the FAIR A-STAR team

reformer-pytorch

Reformer, the efficient Transformer, implemented in Pytorch

seqio

Task-based datasets, preprocessing, and evaluation for sequence models.

some_file

vilbert-multi-task

Multi Task Vision and Language

visdial-rl

PyTorch code for Learning Cooperative Visual Dialog Agents using Deep Reinforcement Learning

vision

Datasets, Transforms and Models specific to Computer Vision

vqa-counting

[ICLR 2018] Learning to Count Objects in Natural Images for Visual Question Answering