dthiagarajan
Machine learning engineer / quantitative researcher. Avid basketball and tennis player. Previously Paige AI, Facebook.
Citadel SecuritiesNew York, New York
Pinned Repositories
breakhis_gp
CS 6670 Final Project
breakhis_gradcam
Using GradCAM on the BreaKHis dataset
dynamic_unet
Dynamic U-Nets with PyTorch for image segmentation.
grozi_tf
Using TensorFlow to recognize groceries at Mattin's.
image_machine_learning_exercises
Implementation of some neural network algorithm and the codes to run on BreakHis Datasets
ptb-xl-research
Deep learning with the PTB-XL dataset, leveraging advances in CV.
pytorch_semantic_segmentation
Various approaches for semantic segmentation
self_attention_embeddings
Course project for CS 6788
simclr_pytorch
A lightweight implementation of the SimCLR unsupervised training framework in PyTorch.
word2vec-pytorch
Implementation of word2vec in PyTorch
dthiagarajan's Repositories
dthiagarajan/word2vec-pytorch
Implementation of word2vec in PyTorch
dthiagarajan/ptb-xl-research
Deep learning with the PTB-XL dataset, leveraging advances in CV.
dthiagarajan/simclr_pytorch
A lightweight implementation of the SimCLR unsupervised training framework in PyTorch.
dthiagarajan/grozi_tf
Using TensorFlow to recognize groceries at Mattin's.
dthiagarajan/breakhis_gp
CS 6670 Final Project
dthiagarajan/breakhis_gradcam
Using GradCAM on the BreaKHis dataset
dthiagarajan/dynamic_unet
Dynamic U-Nets with PyTorch for image segmentation.
dthiagarajan/image_machine_learning_exercises
Implementation of some neural network algorithm and the codes to run on BreakHis Datasets
dthiagarajan/self_attention_embeddings
Course project for CS 6788
dthiagarajan/4701_project
Using autoencoders to learn NBA data.
dthiagarajan/pytorch_semantic_segmentation
Various approaches for semantic segmentation
dthiagarajan/AAE_pytorch
dthiagarajan/coal-hmm-simplification
Final project for CS 4775, Fall 2017.
dthiagarajan/dthiagarajan.github.io
dthiagarajan/fantasy_exploration
dthiagarajan/fastai
The fastai deep learning library, plus lessons and and tutorials
dthiagarajan/genomic-jungles
Data analysis of datasets containing genomic information to surmise interactivity between genomic elements.
dthiagarajan/linear_book
LaTeX and other build files for a linear algebra book I'm writing.
dthiagarajan/metrics
Machine learning metrics for distributed, scalable PyTorch applications.
dthiagarajan/pl-mil
An implementation of the MIL algorithm with PyTorch Lightning.
dthiagarajan/revtok
Reversible tokenization in Python.
dthiagarajan/rosalind
problems I've done from http://rosalind.info/
dthiagarajan/selective-importing
Examples of how to have a monolithic repository with implementations of things that should / shouldn't be imported in production.
dthiagarajan/stanford_algo_coursera
Contains my work for the design and analysis course offered by Stanford on Coursera.
dthiagarajan/stanford_ml_coursera
Stanford's Machine Learning course offered on Coursera.
dthiagarajan/technical_blog
Technical blog generated from fastpages. github.com/fastai/fastpages
dthiagarajan/torchstain
Pytorch stain normalization tools for histological analysis and computational pathology
dthiagarajan/transformers
dthiagarajan/uw_neural_data_challenge