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Welcome to Snehil Sanyal's GitHub Profile

Hey everyone, I am Snehil Sanyal. As of Jan 2023, I am completely shifting my focus from academia to open-source development and industrial opportunities. I will still do some research work outside the academic framework, but will prioritize hands-on open source experience and my own ideas which I have been keeping in pending list for so long. Please check out my complete CV here

🧑🏻‍🏫🧑🏻‍🎓 I have started providing mentorship to students, and employees and consultation calls for startup clients. Please check out more here

I am also self-learning about foundation models, LLMs and Generative AI in my passtime in the top-down approach (building projects first and learn as a consequence).

Present

  1. Oct 2023 - Present: Contributed to Hugging Face Community Driven Computer Vision Course as team lead for two units: Multimodal Models and Ethics and Bias in AI. Flow involved: course outline creation, issue creation, preparing content and notebooks, team interaction and feedback, reiterating on content, push to main repository, review by HF team, finally merging the content. The first edition will be shipped soon 🤗🤗 Links: Ethics and Bias in AI | Multimodal Models | Merged Chapters.
  2. Aug - Nov 2023: Successfully completed the KaggleX BIPOC Mentorship Program as a Mentee for Cohort 3 (Project Focus: Ethics/Bias, BIPOC Representation in Data Science). One of the few mentees to receive a Career Development Grant of USD 500 for my data science journey. Links: PPT | Recording | Project Completion Certificate
  3. Aug - Oct 2023: Successfully completed OpenMined's Padawan Program as a Mentee for R5Q3 Cohort (Privacy Preserving AI and PETs).
  4. May 2023: I am now a Kaggle Dataset Expert (1X Expert) 🤗🥇🥈🥉
  5. Apr - Jul 2023: Worked as an Associate Data Scientist for Ascendeum Pvt. Ltd. (Research and Development role for LLMs, LangChain, transformers, text to SQL).
  6. Jan - Apr 2023: Open Source Development and community sprints (gradio-theme party, scikit-learn sprint)

Jul 2019 - Jan 2023

  • Pursued PhD from IIT Guwahati under the supervision of Prof. M. K. Bhuyan.
  • My research work invovled : Facial Emotion Recognition, Graph Representation Learning, Manifold Learning.
  • Collaborations with Prof. Debanga Raj Neog and Iwahori Lab, Chubu University.
  • I am currently looking for opportunities through which I can aid my research work and contribute to Open Source.
  • Libraries and Frameworks I used for my work: TensorFlow, Keras, PyTorch, PyTorch Geometric, Spektral, Scikit-Learn.
  • I love teaching fundamental concepts of Mathematics and Machine Learning. I have conducted 2 Lab sessions on ML as an instructor for Masters Students [link] and 2 lab sessions on Digital Signal Processing [link].
  • I am currently learning about: JAX, DeFi, NLP.
  • Served as a reviewer: IEEE INDICON, NCC 2022

Past (2017-2019)

Future

  • Working towards it, lol ...

Work

Loves

  • Fundamental Mathematics for ML
  • Coding (learning and implementing code based on new libraries)
  • My Family
  • Interacting with people from different cultures

Ask me about

  • Linear Algebra, Calculus and Probability (Fundamentals of AI and ML)
  • Machine Learning, Deep Learning, Computer Vision, NLP, Generative AI, LLMs
  • Hinduism
  • Life, in general

ML Platforms

Reach me

Snehil Sanyal's Projects

facial-emotion-recognition icon facial-emotion-recognition

This Repo consist code for transfer learning for facial emotion detection via valence and arousal levels. We used pretrained weights from VGG-16 net and apply on that features deep neural network and lstm model in pytorch. We tested our model on Aff-wild net dataset.

facial-expression-recognition icon facial-expression-recognition

Classify each facial image into one of the seven facial emotion categories considered using CNN based on https://www.kaggle.com/c/challenges-in-representation-learning-facial-expression-recognition-challenge

ferplus icon ferplus

This is the FER+ new label annotations for the Emotion FER dataset.

ganjax icon ganjax

Implementation of different GAN in JAX/Haiku.

geomstats icon geomstats

Computations and statistics on manifolds with geometric structures.

gnn icon gnn

TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.

gnnetworkingchallenge icon gnnetworkingchallenge

RouteNet baseline for the Graph Neural Networking Challenge (https://bnn.upc.edu/challenge/)

gnnpapers icon gnnpapers

Must-read papers on graph neural networks (GNN)

grafog icon grafog

Graph Data Augmentation Library for PyTorch Geometric

graph4nlp_demo icon graph4nlp_demo

This repo is to present various code demos on how to use our Graph4NLP library.

graph_datasets icon graph_datasets

A Repository of Benchmark Graph Datasets for Graph Classification (31 Graph Datasets In Total).

hgb icon hgb

Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.

industry-machine-learning icon industry-machine-learning

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

keras-deep-graph-learning icon keras-deep-graph-learning

Welcome to Keras Deep Learning on Graphs (Keras-DGL) http://vermaMachineLearning.github.io/keras-deep-graph-learning

keras-gcn icon keras-gcn

Keras implementation of Graph Convolutional Networks

learning-content icon learning-content

Resources for the study group in IIT Guwahati focused on learning Artificial Intelligence.

machine-learning-environments icon machine-learning-environments

🐳 An all-in-one Docker image for machine learning. Contains all the popular python machine learning librairies (scikit-learn, xgboost, LightGBM, gensim,Keras, etc...).

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