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Ronghang Hu's Projects

text_objseg icon text_objseg

Code release for Hu et al. Segmentation from Natural Language Expressions. in ECCV, 2016

text_objseg_caffe icon text_objseg_caffe

Caffe implementation for Hu et al. Segmentation for Natural Language Expressions in arXiv:1603.06180, 2016 http://ronghanghu.com/text_objseg

tf-mrnn icon tf-mrnn

Re-implementation of the m-RNN model using TensorFLow

touchdown icon touchdown

Cornell Touchdown natural language navigation and spatial reasoning dataset.

tpu_profiling icon tpu_profiling

Profiling analyses and comparisons between PyTorch/XLA and JAX

transformers icon transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

unilm icon unilm

UniLM AI - Large-scale Self-supervised Pre-training across Tasks, Languages, and Modalities

vissl icon vissl

VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.

visualbert icon visualbert

Code for the paper "VisualBERT: A Simple and Performant Baseline for Vision and Language"

vit_10b_fsdp_example icon vit_10b_fsdp_example

See details in https://github.com/pytorch/xla/blob/r1.12/torch_xla/distributed/fsdp/README.md

vqa-maskrcnn-benchmark-m4c icon vqa-maskrcnn-benchmark-m4c

Used in M4C feature extraction script: https://github.com/facebookresearch/mmf/blob/project/m4c/projects/M4C/scripts/extract_ocr_frcn_feature.py

vqa_lstm_cnn icon vqa_lstm_cnn

Train a deeper LSTM and normalized CNN Visual Question Answering model. This current code can get 58.16 on OpenEnded and 63.09 on Multiple-Choice on test-standard.

webcamjs icon webcamjs

HTML5 Webcam Image Capture Library with Flash Fallback

xla icon xla

Enabling PyTorch on Google TPU

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