doi.bio/irhum_shafkat

Irhum Shafkat

Irhum Shafkat is a senior pursuing an undergraduate degree in Computer Science at Minerva University. Shafkat is a curious programmer who tinkers with Python and deep learning. They are interested in applying machine learning to real-world problems, particularly those connecting abstract ideas to the real world. They are a proponent of interdisciplinary thinking, arguing that fields like computational biology and physics simulations are essential to solving some of the world's largest problems, such as climate change.

Research Interests

• Deep Learning
• Graph Neural Networks
• Convolutional Neural Networks
• Variational Autoencoders
• Systems Thinking
• Computational Biology
• Physics Simulations

Publications

• Intuitively Understanding Variational Autoencoders
• Intuitively Understanding Convolutions for Deep Learning
• Deep Learning meets Interactive Evolutionary Computation

Online Presence

Irhum Shafkat is active on several online platforms:

• Medium
• GitHub
• Twitter
• LinkedIn

Irhum Shafkat

Irhum Shafkat is a senior pursuing an undergraduate degree in Computer Science at Minerva University. Shafkat's focus is on applying machine learning to real-world problems, particularly in connecting abstract ideas to the real world. They are a strong proponent of interdisciplinary thinking, believing that combining computation with domain expertise in other fields is essential to solving some of the world's largest problems, such as climate change.

Shafkat is interested in keeping up with work in fields such as systems thinking, computational biology, and physics simulations. They also tinker with Python and deep learning and have written blog posts on Medium about their work.

Notable Work

• Intuitively Understanding Variational Autoencoders: Shafkat explores the use of Variational Autoencoders (VAEs) in creating generative text, art, and music. They explain how VAEs differ from standard autoencoders and their unique properties that make them useful for generative modelling, such as their continuous latent spaces.
• ESM2 Protein Language Models in JAX/Flax: Implementation of the Hyena Hierarchy in JAX/Flax.
• R2Plus1D-PyTorch Public Archive: PyTorch implementation of the R2Plus1D convolution-based ResNet architecture described in the paper "A Closer Look at Spatiotemporal Convolutions for Action Recognition."
• LLM-powered Q/A over arXiv preprints

Online Presence

Irhum Shafkat is active on various online platforms, including:

• GitHub: https://github.com/irhum
• Medium: https://medium.com/@irhumshafkat

- Twitter: https://twitter.com/irhumshafkat

Irhum Shafkat

Irhum Shafkat is a senior pursuing an undergraduate degree in Computer Science at Minerva University. Shafkat is interested in applying machine learning to real-world problems, particularly in connecting abstract ideas to the real world. They are a proponent of interdisciplinary thinking, believing that a combination of computation and domain expertise in other fields is necessary to solve complex societal issues such as climate change.

Research Interests and Publications

Shafkat has published articles on Medium and Towards Data Science, exploring topics such as:

• Graph Neural Networks
• Convolutions for Deep Learning
• Variational Autoencoders and their applications in generative modelling, including text, art, and music creation
• Convolutional Neural Networks (CNNs) and their use in image classification
• LLM-powered Q/A over arXiv preprints

Coding Experience

Shafkat has experience with Python, deep learning, and various machine learning techniques. They have a GitHub account with 69 followers, where they have implemented projects such as:

• ESM2 protein language models in JAX/Flax
• Hyena Hierarchy in JAX/Flax

- R2Plus1D-PyTorch Public archive, a PyTorch implementation of the R2Plus1D convolution-based ResNet architecture

Irhum Shafkat

Irhum Shafkat is a senior pursuing an undergraduate degree in Computer Science at Minerva University. Shafkat is a curious programmer who likes to tinker around in Python and deep learning. They are a strong proponent of interdisciplinary thinking and believe that computer science alone is insufficient to solve complex societal problems such as climate change. They advocate for combining computation with domain expertise from other fields, such as systems thinking, computational biology, and physics simulations. Shafkat is particularly interested in applying machine learning to real-world problems and connecting abstract ideas to tangible solutions.

Notable Work

• Intuitively Understanding Variational Autoencoders: In this work, Shafkat explores the power of Variational Autoencoders (VAEs) as generative models with diverse applications, including generating synthetic human faces and music. They delve into the intuition behind the effectiveness of VAEs and their ability to create variations on existing data.
• Understanding Graph Neural Networks: Shafkat has shown interest in understanding graph neural networks and their applications.
• Deep Learning Meets Interactive Evolutionary Computation: Shafkat explores the intersection of deep learning and interactive evolutionary computation.
• PyTorch Implementation of R2Plus1D Convolution: Shafkat has worked on the PyTorch implementation of the R2Plus1D convolution-based ResNet architecture, which is used for action recognition.
• ESM2 Protein Language Models in JAX/Flax: Shafkat has contributed to the development of ESM2 protein language models using the JAX/Flax framework.

Youtube Videos

Youtube Title: A Student’s View on the Challenges and Possibilities of AI in Education

Youtube Link: link

Youtube Channel Name: Michael B. Horn

Youtube Channel Link: https://www.youtube.com/@michaelbhorn

A Student’s View on the Challenges and Possibilities of AI in Education

Youtube Title: Variational Autoencoders simplified

Youtube Link: link

Youtube Channel Name: Prof. Ryan Ahmed

Youtube Channel Link: https://www.youtube.com/@professor-ryanahmed

Variational Autoencoders simplified

Youtube Title: Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

Youtube Link: link

Youtube Channel Name: Weights & Biases

Youtube Channel Link: https://www.youtube.com/@WeightsBiases

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

Youtube Title: What are Generative Models? | VAE & GAN | Intro to AI

Youtube Link: link

Youtube Channel Name: Zhuoyue

Youtube Channel Link: https://www.youtube.com/@zhuoyuelyu

What are Generative Models? | VAE & GAN | Intro to AI

Youtube Title: Music Generation with Variational Autoencoders (VAEs)

Youtube Link: link

Youtube Channel Name: Jiwon Choi

Youtube Channel Link: https://www.youtube.com/@jiwonc

Music Generation with Variational Autoencoders (VAEs)

Youtube Title: Paper Reading Group: ConvNext

Youtube Link: link

Youtube Channel Name: Weights & Biases

Youtube Channel Link: https://www.youtube.com/@WeightsBiases

Paper Reading Group: ConvNext

Youtube Title: Image Classification with Convolutional Neural Networks | Deep Learning with PyTorch: Zero to GANs |

Youtube Link: link

Youtube Channel Name: freeCodeCamp.org

Youtube Channel Link: https://www.youtube.com/@freecodecamp

Image Classification with Convolutional Neural Networks | Deep Learning with PyTorch: Zero to GANs |

Youtube Title: 7/15-DkfoAqKlO TensorFlow 2.0 Practical Advanced

Youtube Link: link

Youtube Channel Name: StarFreelancer(dot)Eu

Youtube Channel Link: https://www.youtube.com/@starfreelancerdoteu

7/15-DkfoAqKlO TensorFlow 2.0 Practical Advanced

Youtube Title: Deep learning with Pytorch 5 CNN

Youtube Link: link

Youtube Channel Name: 모두 함께 인공지능

Youtube Channel Link: https://www.youtube.com/@junji-ai

Deep learning with Pytorch 5 CNN

Youtube Title: MTEC machine learning workshop: Session 11 - Deep learning practical II

Youtube Link: link

Youtube Channel Name: Sira Sriswasdi

Youtube Channel Link: https://www.youtube.com/@sirasris

MTEC machine learning workshop: Session 11 - Deep learning practical II

Youtube Title: Simulating 500 million years of evolution | Synthesizing proteins using large language models

Youtube Link: link

Youtube Channel Name: Vizuara

Youtube Channel Link: https://www.youtube.com/@vizuara

Simulating 500 million years of evolution | Synthesizing proteins using large language models

Youtube Title: Deep Learning with PyTorch Live Course - ResNet, Regularization and Data Augmentation (Part 5 of 6)

Youtube Link: link

Youtube Channel Name: freeCodeCamp.org

Youtube Channel Link: https://www.youtube.com/@freecodecamp

Deep Learning with PyTorch Live Course - ResNet, Regularization and Data Augmentation (Part 5 of 6)

Youtube Title: Deep Learning with PyTorch Live Course - Image Classification with CNNs (Part 4 of 6)

Youtube Link: link

Youtube Channel Name: freeCodeCamp.org

Youtube Channel Link: https://www.youtube.com/@freecodecamp

Deep Learning with PyTorch Live Course - Image Classification with CNNs (Part 4 of 6)

Youtube Title: Image Classification with Convolutional Neural Networks | Deep Learning with PyTorch |4/6(हिंदी में)

Youtube Link: link

Youtube Channel Name: freeCodeCamp Hindi

Youtube Channel Link: https://www.youtube.com/@freecodecamphindi

Image Classification with Convolutional Neural Networks | Deep Learning with PyTorch |4/6(हिंदी में)

Youtube Title: خسروجردي؛ پسمانده پرسپوليس در استقلال، آقاي رضائيان، بودن در پرسپوليس لياقت ميخواهد، بي معرفت

Youtube Link: link

Youtube Channel Name: Soot Official

Youtube Channel Link: https://www.youtube.com/@SootOfficial

خسروجردي؛ پسمانده پرسپوليس در استقلال، آقاي رضائيان، بودن در پرسپوليس لياقت ميخواهد، بي معرفت

Youtube Title: بازدید از کارخانه عسل کوهدشت خراسان

Youtube Link: link

Youtube Channel Name: AradBranding.com

Youtube Channel Link: https://www.youtube.com/@aradbranding

بازدید از کارخانه عسل کوهدشت خراسان

Youtube Title: آمده ام که تاریخ بسازم. I am here to make history. HIM REZA SHAH THE II

Youtube Link: link

Youtube Channel Name: Pejman Pirmoradi

Youtube Channel Link: https://www.youtube.com/@pejmanpirmoradi1034

آمده ام که تاریخ بسازم. I am here to make history. HIM REZA SHAH THE II

Youtube Videos

Youtube Title: A Student’s View on the Challenges and Possibilities of AI in Education

Youtube Link: link

Youtube Channel Name: Michael B. Horn

Youtube Channel Link: https://www.youtube.com/@michaelbhorn

A Student’s View on the Challenges and Possibilities of AI in Education

Youtube Title: Variational Autoencoders simplified

Youtube Link: link

Youtube Channel Name: Prof. Ryan Ahmed

Youtube Channel Link: https://www.youtube.com/@professor-ryanahmed

Variational Autoencoders simplified

Youtube Title: Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

Youtube Link: link

Youtube Channel Name: Weights & Biases

Youtube Channel Link: https://www.youtube.com/@WeightsBiases

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

Youtube Title: What are Generative Models? | VAE & GAN | Intro to AI

Youtube Link: link

Youtube Channel Name: Zhuoyue

Youtube Channel Link: https://www.youtube.com/@zhuoyuelyu

What are Generative Models? | VAE & GAN | Intro to AI

Youtube Title: Music Generation with Variational Autoencoders (VAEs)

Youtube Link: link

Youtube Channel Name: Jiwon Choi

Youtube Channel Link: https://www.youtube.com/@jiwonc

Music Generation with Variational Autoencoders (VAEs)

Youtube Title: Paper Reading Group: ConvNext

Youtube Link: link

Youtube Channel Name: Weights & Biases

Youtube Channel Link: https://www.youtube.com/@WeightsBiases

Paper Reading Group: ConvNext

Youtube Title: Image Classification with Convolutional Neural Networks | Deep Learning with PyTorch: Zero to GANs |

Youtube Link: link

Youtube Channel Name: freeCodeCamp.org

Youtube Channel Link: https://www.youtube.com/@freecodecamp

Image Classification with Convolutional Neural Networks | Deep Learning with PyTorch: Zero to GANs |

Youtube Title: 7/15-DkfoAqKlO TensorFlow 2.0 Practical Advanced

Youtube Link: link

Youtube Channel Name: StarFreelancer(dot)Eu

Youtube Channel Link: https://www.youtube.com/@starfreelancerdoteu

7/15-DkfoAqKlO TensorFlow 2.0 Practical Advanced

Youtube Title: Deep learning with Pytorch 5 CNN

Youtube Link: link

Youtube Channel Name: 모두 함께 인공지능

Youtube Channel Link: https://www.youtube.com/@junji-ai

Deep learning with Pytorch 5 CNN

Youtube Title: MTEC machine learning workshop: Session 11 - Deep learning practical II

Youtube Link: link

Youtube Channel Name: Sira Sriswasdi

Youtube Channel Link: https://www.youtube.com/@sirasris

MTEC machine learning workshop: Session 11 - Deep learning practical II

Youtube Title: Simulating 500 million years of evolution | Synthesizing proteins using large language models

Youtube Link: link

Youtube Channel Name: Vizuara

Youtube Channel Link: https://www.youtube.com/@vizuara

Simulating 500 million years of evolution | Synthesizing proteins using large language models

Youtube Title: Deep Learning with PyTorch Live Course - ResNet, Regularization and Data Augmentation (Part 5 of 6)

Youtube Link: link

Youtube Channel Name: freeCodeCamp.org

Youtube Channel Link: https://www.youtube.com/@freecodecamp

Deep Learning with PyTorch Live Course - ResNet, Regularization and Data Augmentation (Part 5 of 6)

Youtube Title: Deep Learning with PyTorch Live Course - Image Classification with CNNs (Part 4 of 6)

Youtube Link: link

Youtube Channel Name: freeCodeCamp.org

Youtube Channel Link: https://www.youtube.com/@freecodecamp

Deep Learning with PyTorch Live Course - Image Classification with CNNs (Part 4 of 6)

Youtube Title: Image Classification with Convolutional Neural Networks | Deep Learning with PyTorch |4/6(हिंदी में)

Youtube Link: link

Youtube Channel Name: freeCodeCamp Hindi

Youtube Channel Link: https://www.youtube.com/@freecodecamphindi

Image Classification with Convolutional Neural Networks | Deep Learning with PyTorch |4/6(हिंदी में)

Youtube Title: خسروجردي؛ پسمانده پرسپوليس در استقلال، آقاي رضائيان، بودن در پرسپوليس لياقت ميخواهد، بي معرفت

Youtube Link: link

Youtube Channel Name: Soot Official

Youtube Channel Link: https://www.youtube.com/@SootOfficial

خسروجردي؛ پسمانده پرسپوليس در استقلال، آقاي رضائيان، بودن در پرسپوليس لياقت ميخواهد، بي معرفت

Youtube Title: بازدید از کارخانه عسل کوهدشت خراسان

Youtube Link: link

Youtube Channel Name: AradBranding.com

Youtube Channel Link: https://www.youtube.com/@aradbranding

بازدید از کارخانه عسل کوهدشت خراسان

Youtube Title: آمده ام که تاریخ بسازم. I am here to make history. HIM REZA SHAH THE II

Youtube Link: link

Youtube Channel Name: Pejman Pirmoradi

Youtube Channel Link: https://www.youtube.com/@pejmanpirmoradi1034

آمده ام که تاریخ بسازم. I am here to make history. HIM REZA SHAH THE II