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Hello there πŸ‘‹

I'm Harits (for formal use, or Ais for short and less formal use) from Indonesia. Don't mind about my repos nor the stars, those are just chindōgu and my tsundoku habits.

  • πŸ’¬ You can ask me about computer vision, digital image processing, NLP, information retrieval or AI/ML
  • 🌱 I’m currently learning about deep learning in medical, arts and system recommendation (yeah, and other daily common tasks)
  • πŸ‘― I’m looking to collaborate on digital cultural anthropology preservation, recommendation systems or any SDGs-oriented projects
  • πŸ“« You can reach me from e-mail or Twitter (links in the profile)
  • 🌐 A quick recap about me: link
⚑ Cool stuff for you
Besides deep learning and programming, another topic that I love to learn is how eyes and colors work in nature, mostly in animals and computers (or digital devices). I would like to suggest you watch
  • Life in Color with David Attenborough
Or read
  • Digital Color Management by Edward J. Giorgianni and Thomas E. Madden
  • Measuring Colour (4th edition) by R.W.G Hunt and M.R. Pointer
  • When the Machine Made Art: The Troubled History of Computer Art by Grant D. Taylor
  • Digital Image Processing by Rafael C. Gonzales and Richard E. Woods
  • Creative Selection: Inside Apple's Design Process During the Golden Age of Steve Jobs by Ken Kocienda
  • Deep Reinforcement Learning in Action by Alexander Zai & Brandon Brown

img Zebra image from Ron Dauphin

Ummm, here's some stats ..? (Are we still doing this like 2009 blogs?)

Ais's Projects

py-caskdb icon py-caskdb

(educational) build your own disk based KV store

qlora icon qlora

QLoRA: Efficient Finetuning of Quantized LLMs

recguru icon recguru

The source code and dataset for the RecGURU paper (WSDM 2022)

recsim icon recsim

A Configurable Recommender Systems Simulation Platform

reincarnating_rl icon reincarnating_rl

[NeurIPS 2022] Open source code for reusing prior computational work in RL.

rl-isn icon rl-isn

Implementation of "Reinforcement Learning-enhanced Shared-account Cross-domain Sequential Recommendation" (TKDE 2022)

robustvit icon robustvit

[NeurIPS 2022] Official PyTorch implementation of Optimizing Relevance Maps of Vision Transformers Improves Robustness. This code allows to finetune the explainability maps of Vision Transformers to enhance robustness.

segformer icon segformer

Official PyTorch implementation of SegFormer

segment-anything icon 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.

selfrec icon selfrec

An open-source framework for self-supervised recommender systems.

selfstudy icon selfstudy

Code for reproducing experiments in "How Useful is Self-Supervised Pretraining for Visual Tasks?"

simclr icon simclr

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

simsiam icon simsiam

A pytorch implementation for paper 'Exploring Simple Siamese Representation Learning'

simsiam-1 icon simsiam-1

PyTorch implementation of SimSiam https//arxiv.org/abs/2011.10566

simvlm icon simvlm

SimVLM ---SIMPLE VISUAL LANGUAGE MODEL PRETRAINING WITH WEAK SUPERVISION

sistemintelijens2itb icon sistemintelijens2itb

Repository ini berisi mata kuliah yang saya ambil selama menjalani S2 IF ITB dengan opsi subjurusan Sistem Intelijen

sniko_paper icon sniko_paper

Program dari paper untuk Seminar Nasional Instrumentasi, Kontrol dan Otomasi 2018

sqlformer icon sqlformer

Code for "SQLformer: Deep Auto-Regressive Query Graph Generation for Text-to-SQL Translation"

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