Austin

Ruotian(RT) Luo

Elite
@ruotianluo

Waymo Perception SWE. Phd graduate from TTIC.

pytorch-faster-rcnn. pytorch1.0 updated. Support cpu test and demo. (Use detectron2, it's a masterpiece)

1.8k

ImageCaptioning.pytorch. I decide to sync up this repo and self-critical.pytorch. (The old master is in old master branch for archive)

1.5k

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

1k

pytorch-resnet. Convert resnet trained in caffe to pytorch model. (group norm resnet is provided too)

231

Image_Captioning_AI_Challenger. Code for AI Challenger contest. (Generating chinese image captions)

217

Transformer_Captioning. Use transformer for captioning

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DiscCaptioning. Code for Discriminability objective for training descriptive captions(CVPR 2018)

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baipiao_jianying. 白嫖剪映的语音识别(学习分享)

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NeuralDialog-CVAE-pytorch. OpenEdge ABL

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Faster-RCNN-Densecap-torch. Faster-RCNN based on Densecap(deprecated)

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zsl-gcn-pth. zero-shot-gcn in pytorch

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coco-caption. Jupyter Notebook

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neuraltalk2-tensorflow. Neuraltalk2 in tensorflow

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Context-aware-ZSR. Official code for paper Context-aware Zero-shot Recognition (https://arxiv.org/abs/1904.09320 to appear at AAAI2020)

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GoogleConceptualCaptioning. Python

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pytorch-mobilenet-from-tf. Mobilenet model converted from tensorflow

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bottom-up-attention-ai-challenger. Jupyter Notebook

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cider. python codes for CIDEr - Consensus-based Image Caption Evaluation

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lmdbdict. A simple wrapper for lmdb. Support dict-like operations.

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rtutils. Python

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lazy_related_work. Python

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refexp-comprehension. Referring expression comprehension on ReferIt(RefClef)

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canada_us_visa_spotter. Python

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meshed-memory-transformer. M²: Meshed-Memory Transformer for Image Captioning. CVPR 2020

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neuraltalk2-resnet. Efficient Image Captioning code in Torch, runs on GPU, using Deep Residual Network (ResNet).

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ruotianluo.github.io. SCSS

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iep-ref. Inferring and Executing Programs for Visual Reasoning

4

bert-convert-to-pth. TensorFlow code and pre-trained models for BERT

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renrenBackup. A backup tool for renren.com

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deit-relative-att. Official DeiT repository

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adaptis.pytorch. [ICCV19] AdaptIS: Adaptive Instance Selection Network, https://arxiv.org/abs/1909.07829

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neural-summ-cnndm-pytorch. neural abstractive summarization in pytorch on CNN/Daily Mail

3

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

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play_with_jax. My attempt to learn jax.

2

unsupervised_captioning. Code for Unsupervised Image Captioning

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awesome-torch. A curated list of awesome Torch tutorials, projects and communities

2

PromptPapers. Must-read papers on prompt-based tuning for pre-trained language models.

1

detectorch. Detectorch - detectron for PyTorch

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vae_captioning. Implementation of Diverse and Accurate Image Description Using a Variational Auto-Encoder with an Additive Gaussian Encoding Space

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ssd.pytorch. A PyTorch Implementation of Single Shot MultiBox Detector

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Detectron.pytorch. A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.

1

ssds.pytorch. Repository for Single Shot MultiBox Detector and its variants, implemented with pytorch, python3.

1

pytorch-lightning. The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate

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video-caption.pytorch. pytorch implementation of video captioning

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trax. Trax — Deep Learning with Clear Code and Speed

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one-key-hidpi. Enable macOS HiDPI and have a native setting.

1

pytorch-pretrained-BERT. 📖The Big-&-Extending-Repository-of-Transformers: Pretrained PyTorch models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL.

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cocoapi. COCO API - Dataset @ http://cocodataset.org/

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end-to-end-negotiator. Deal or No Deal? End-to-End Learning for Negotiation Dialogues

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pytorch-AdaIN. Unofficial pytorch implementation of 'Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization' [Huang+, ICCV2017]

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EasyContext. Memory optimization and training recipes to extrapolate language models' context length to 1 million tokens, with minimal hardware.

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SPICE. Semantic Propositional Image Caption Evaluation

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