Pinned Repositories
academic-kickstart
awesome-differential-privacy
A curated reading list of papers and code in differential privacy
Clinical-IR-on-cancer-pathology-reports
Information retrieval from cancer pathology reports using deep learning and NLP
cnn_numpy
cvpr-internship-hr
These are the codes developed by me during my work in handwriting recognition for winter internship at ISI. These are mainly preprocessing tasks.
Lung-Cancer-Detection-CNN-and-GAN
Detecting lung cancer from annotated CT scans of lung lesions from the LUNA16 dataset using CNN and GAN
ml-andrewng
This contains the MATLAB code for the programming assignments in Andrew Ng's online machine learning course.
ml-andrewng-python
This is the Python implementation of the programming assignments in Andrew Ng's online machine-learning course.
scikit-learn-codes
My implementation of ML algos in sklearn.
svm-muffincupcake
This is the implementation of Alice Zhao's youtube video which attempts to classify muffins vs. cupcakes using Support Vector Machines.
deyachatterjee's Repositories
deyachatterjee/Lung-Cancer-Detection-CNN-and-GAN
Detecting lung cancer from annotated CT scans of lung lesions from the LUNA16 dataset using CNN and GAN
deyachatterjee/scikit-learn-codes
My implementation of ML algos in sklearn.
deyachatterjee/algorithms-elab
These are the codes for elab- implementation of famous algorithms or solutions to competitive programming problems.
deyachatterjee/artificial-adversary
🗣️ Tool to generate adversarial text examples and test machine learning models against them
deyachatterjee/awesome-vqa
Visual Q&A reading list
deyachatterjee/beginners-tools-for-deep-learning
Everything a beginner will need to get started in deep learning
deyachatterjee/courses
fast.ai Courses
deyachatterjee/DART
Code for the 'DARTS: Deceiving Autonomous Cars with Toxic Signs' paper
deyachatterjee/DataScienceR
a curated list of R tutorials for Data Science, NLP and Machine Learning
deyachatterjee/Deedy-Resume
A one page , two asymmetric column resume template in XeTeX that caters to an undergraduate Computer Science student
deyachatterjee/deep-learning-goals
Deep Learning notes, tutorials, paper summary, implementation
deyachatterjee/deep-learning-radiology
Researching deep learning applications in radiology
deyachatterjee/deep-openslide
A library for training deep neural networks using pathology data by accessing patches on-the-fly
deyachatterjee/deeplearning-coursera
My assignments for the courses in Deep Learning Specialization by Andrew Ng on Coursera.
deyachatterjee/github-slideshow
A robot powered training repository :robot:
deyachatterjee/jonbarron_website
deyachatterjee/KagglePersonalizedMedicineText
A few implementations for the text classification of pathology reports competition hosted by kaggle
deyachatterjee/MNIST-Blackbox-Attack
A Jupyter Notebook Demo of the CleverHans MNIST Blackbox Attack Tutorial.
deyachatterjee/OncoText
OncoText is an information extraction service for breast pathology reports. It supports over 20 categories including DCIS, includes pretrained models, and supports flexible addition of new categories, new training data, and parsing new reports.
deyachatterjee/PathISTabs
A program that dumps Natural Language Search text/PDF results for anatomic pathology reports into spreadsheet tabular format.
deyachatterjee/pathpedia
Pathpedia is an automated system to parse immunohistochemistry(IHC) reports using a grammar-based approach and parse the corresponding surgical pathology(SP) reports using a tree-based approach.
deyachatterjee/pixel-deflection
Deflecting Adversarial Attacks with Pixel Deflection
deyachatterjee/resume
Software developer resume in Latex
deyachatterjee/Simple-Adversarial-Attacks
Examples of some adversarial attacks on VGG Network
deyachatterjee/SQuAD
Building QA system for Stanford Question Answering Dataset
deyachatterjee/Style-Transfer
deyachatterjee/Task-1
deyachatterjee/Task-1-data-visualisation
deyachatterjee/xgb-kaggle
The XGBoost algo that is so popular with Kaggle winners.
deyachatterjee/xor-in-diff-frameworks