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Hi πŸ‘‹ My name is Davit Soselia

I am a CS grad student at UMD

I have been working on ML and related projects for the past 5 years, starting primarily with applied CV, and occasionally working with NLP and speech processing. I am originally from Georgia πŸ‡¬πŸ‡ͺ Spent past 4 years in Sweden πŸ‡ΈπŸ‡ͺ and recently moved to Maryland to pursue studies πŸŽ“ at University of Maryland, College Park.

  • 🌍 I'm based in College Park, MD, US.
  • βœ‰οΈ You can contact me at dsoselia at umd dot edu
  • 🀝 I'm open to collaborating on any interesting DL projects, but currently interested in code generation in particular.

Davit Soselia's Projects

avalanche icon avalanche

Avalanche: a End-to-End Library for Continual Learning.

colab icon colab

Continual Learning tutorials and demo running on Google Colaboratory.

continual-learning icon continual-learning

PyTorch implementation of various methods for continual learning (XdG, EWC, online EWC, SI, LwF, GR, GR+distill, RtF, ER, A-GEM, iCaRL).

cv_lth_pre-training icon cv_lth_pre-training

[CVPR 2021] "The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models" Tianlong Chen, Jonathan Frankle, Shiyu Chang, Sijia Liu, Yang Zhang, Michael Carbin, Zhangyang Wang

deepsdf icon deepsdf

Learning Continuous Signed Distance Functions for Shape Representation

dsoselia.github.io icon dsoselia.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

facil icon facil

Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.

gpt-code-clippy icon gpt-code-clippy

Full description can be found here: https://discuss.huggingface.co/t/pretrain-gpt-neo-for-open-source-github-copilot-model/7678?u=ncoop57

interpretable-adv icon interpretable-adv

Code for Interpretable Adversarial Perturbation in Input Embedding Space for Text, IJCAI 2018.

lipnet icon lipnet

Automated Lip reading from real-time videos in tensorflow in python

mae icon mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

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