thaonhunguyen

thaonhunguyen's Stars

• KaihuaTang/Scene-Graph-Benchmark.pytorch

  A new codebase for popular Scene Graph Generation methods (2020). Visualization & Scene Graph Extraction on custom images/datasets are provided. It's also a PyTorch implementation of paper “Unbiased Scene Graph Generation from Biased Training CVPR 2020”

  Language:Jupyter Notebook1.1k228

• google-research/tuning_playbook

  A playbook for systematically maximizing the performance of deep learning models.

  27.4k2.3k

• OpenInterpreter/open-interpreter

  A natural language interface for computers

  Language:Python57.2k4.9k

• openai/openai-cookbook

  Examples and guides for using the OpenAI API

  Language:MDX60.4k9.6k

• JunjieHu/ReCo-RL

  Codes of AAAI 2020 paper "What Makes A Good Story? Designing Composite Rewards for Visual Storytelling"

  Language:Python269

• facebookresearch/segment-anything

  The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

  Language:Jupyter Notebook47.9k5.7k

• aamini/introtodeeplearning

  Lab Materials for MIT 6.S191: Introduction to Deep Learning

  Language:Jupyter Notebook7.3k3.7k

• twitter/the-algorithm-ml

  Source code for Twitter's Recommendation Algorithm

  Language:Python10.1k2.2k

• NielsRogge/Transformers-Tutorials

  This repository contains demos I made with the Transformers library by HuggingFace.

  Language:Jupyter Notebook9.6k1.5k

• mlfoundations/open_clip

  An open source implementation of CLIP.

  Language:Python10.5k991

• tingyaohsu/VIST-Edit

  Visual Storytelling post-edit dataset

  171

• huggingface/notebooks

  Notebooks using the Hugging Face libraries 🤗

  Language:Jupyter Notebook3.7k1.5k

• f/awesome-chatgpt-prompts

  This repo includes ChatGPT prompt curation to use ChatGPT better.

  Language:HTML114k15.5k

• deepchecks/deepchecks

  Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

  Language:Python3.6k253

• eugeneyan/applied-ml

  📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

  27.4k3.7k

• kornia/kornia

  Geometric Computer Vision Library for Spatial AI

  Language:Python10k974

• uta-smile/TCL

  code for TCL: Vision-Language Pre-Training with Triple Contrastive Learning, CVPR 2022

  Language:Python26033

• dianaglzrico/neural-visual-storyteller

  An implementation of the paper "Contextualize, Show and Tell: A Neural Visual Storyteller." presented at the Storytelling Workshop, co-located with NAACL 2018.

  Language:Python3310

• lucidrains/CoCa-pytorch

  Implementation of CoCa, Contrastive Captioners are Image-Text Foundation Models, in Pytorch

  Language:Python1.1k89

• salesforce/LAVIS

  LAVIS - A One-stop Library for Language-Vision Intelligence

  Language:Jupyter Notebook10k975

• windx0303/VIST-Challenge-NAACL-2018

  Official Github repo of the VIST Challenge NAACL 2018

  Language:Java175

• passerby233/VSCMR-Visual-Storytelling-with-Corss-Modal-Rules

  Visual Storytelling with Cross-Modal Rules

  Language:Jupyter Notebook73

• cookiecutter/cookiecutter

  A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.

  Language:Python22.7k2k

• McGill-NLP/imagecode

  Code and data for ImageCoDe, a contextual vison-and-language benchmark

  Language:Python396

• jeffheaton/t81_558_deep_learning

  T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis

  Language:Jupyter Notebook5.7k3k

• yurijmikhalevich/rclip

  AI-Powered Command-Line Photo Search Tool

  Language:Python75358

• passerby233/Collection-of-Visual-Storytelling-StoryNLP

  This repository aims to collect the articles and codes for the Visual Storytelling (VIST) task. VIST is a vision-and-language task. It aims to summarize the idea of a photo stream and tells a story about it (in natural language). Be careful about its difference from the "storytelling with data", which is more related to data visualization.

  193

• awesome-mlss/awesome-mlss

  🤖 Machine Learning Summer School deadlines

  Language:HTML2.7k296

• Maluuba/nlg-eval

  Evaluation code for various unsupervised automated metrics for Natural Language Generation.

  Language:Python1.4k224

• Sid2697/awesome-egocentric-vision

  A curated list of egocentric (first-person) vision and related area resources

  26329