sanjayss34

sanjayss34's Stars

• nerfstudio-project/nerfstudio

  A collaboration friendly studio for NeRFs

  Language:Python9.7k1141.7k1.3k

• jwyang/faster-rcnn.pytorch

  A faster pytorch implementation of faster r-cnn

  Language:Python7.7k918392.3k

• NVIDIA/cutlass

  CUDA Templates for Linear Algebra Subroutines

  Language:C++5.9k1091.2k1k

• LLaVA-VL/LLaVA-NeXT

  Language:Python3.2k37331278

• peteanderson80/bottom-up-attention

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

  Language:Jupyter Notebook1.4k26117378

• shubham-goel/4D-Humans

  4DHumans: Reconstructing and Tracking Humans with Transformers

  Language:Python1.3k23152121

• airsplay/lxmert

  PyTorch code for EMNLP 2019 paper "LXMERT: Learning Cross-Modality Encoder Representations from Transformers".

  Language:Python94018113159

• nikitakit/self-attentive-parser

  High-accuracy NLP parser with models for 11 languages.

  Language:Python8752098155

• facebookresearch/av_hubert

  A self-supervised learning framework for audio-visual speech

  Language:Python86215111138

• google/learned_optimization

  Language:Python757141663

• jwyang/graph-rcnn.pytorch

  [ECCV 2018] Official code for "Graph R-CNN for Scene Graph Generation"

  Language:Python73229113157

• uclanlp/visualbert

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

  Language:Python5301440104

• CogComp/cogcomp-nlp

  CogComp's Natural Language Processing Libraries and Demos: Modules include lemmatizer, ner, pos, prep-srl, quantifier, question type, relation-extraction, similarity, temporal normalizer, tokenizer, transliteration, verb-sense, and more.

  Language:Java47562385142

• mpc001/Visual_Speech_Recognition_for_Multiple_Languages

  Visual Speech Recognition for Multiple Languages

  Language:Python361132956

• brjathu/LART

  Code repository for the paper "On the Benefits of 3D Pose and Tracking for Human Action Recognition", (CVPR 2023)

  Language:Jupyter Notebook25873132

• lil-lab/nlvr

  Cornell NLVR and NLVR2 are natural language grounding datasets. Each example shows a visual input and a sentence describing it, and is annotated with the truth-value of the sentence.

  Language:HTML2588958

• airsplay/py-bottom-up-attention

  PyTorch bottom-up attention with Detectron2

  Language:Python23152957

• rowanz/merlot

  MERLOT: Multimodal Neural Script Knowledge Models

  Language:Python223141825

• Cyanogenoid/vqa-counting

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

  Language:Python205101348

• HazyResearch/lolcats

  Repo for "LoLCATs: On Low-Rank Linearizing of Large Language Models"

  Language:Python20020621

• eladsegal/tag-based-multi-span-extraction

  The official implementation of EMNLP 2020, "A Simple and Effective Model for Answering Multi-span Questions".

  Language:Python15722037

• allenai/medicat

  Dataset of medical images, captions, subfigure-subcaption annotations, and inline textual references

  Language:Python1358916

• allenai/faithful-nmn

  Evaluating and improving the faithfulness of the interpretations offered by Neural Module Networks

  Language:Python13811

• danyaljj/infinitelyDeepNeuralNetworks

  Deep Learning without any depth limitation

  Language:Python6201

• hack4impact-upenn/close-calls-philly

  (Clean Air Council Spring 2017): A vehicle incident reporting web application

  Language:Python5601

• jacobkahn/cis-700-project

  Language:Python3200