AdityaGolatkar

SelectiveForgetting

Classification-of-Breast-Cancer-Histology-using-Deep-Learning

Our solution to the BACH challenge organised by ICIAR 2018. Also contains our paper which was published at the conference

Sentence-Summarization-using-LSTMs

Keras implementation of bi-LSTMs for sentence summarization. Obtained better marginally better results than a work by Google on same topic. CS 726 IIT Bombay project

Sparse-Kernel-PCA-for-outlier-detection

Our codes and results for our work on SKPCA for outlier detection.

Exemplar-Based-Inpainting

Exemplar Based Inpainting

Algorithms-for-medical-image-processing-IIT-Bombay

Our implementation of course assignments and the course project.

DC-INVASE

Extended INVASE (ICLR 2019) to images. Results generated can be found in the ICLR paper.

Document-Summarization-by-key-sentence-extraction-using-NN

Codes and reports of the Foundations Machine Learning (CS 403 IIT Bombay) course project.

Existence-of-sparse-basis-for-deep-learning-kernels

Deep Neural Networks for Sparse KPCA

lightning

The most intuitive, flexible, way for researchers, ML engineers and data scientists to build models (with PyTorch), research workflows and production pipelines with an obsessive focus on flexibility and performance.

Mutual-Information

over-parametrization

Computing various norms/measures on over-parametrized neural networks

RL-Adventure

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

Robust-classification-and-feature-selection

Texture-Synthesis

Wong-Orchard-Exemplar-Based-Inpainting

AdityaGolatkar

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

all-conv-pytorch

Pytorch implementation of "Striving for Simplicity: The All Convolutional Net" (https://arxiv.org/abs/1412.6806)

Digital-Image-Processing-IIT-Bombay

Codes for DIP course (CS 663) IIT Bombay

Flow-based-image-extraction

KPCA_PPCA

Codes for KPCA and PPCA along with the corresponding papers for character and digits dataset.

MAML-Pytorch

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

Microprocessor-Lab-IIT-Bombay

Codes for Microprocessor Lab at IIT Bombay

Microprocessor-Lab-Project-IIT-Bombay

Codes along with describing images for Microprocessor Lab Project IIT Bombay

MINE-Mutual-Information-Neural-Estimation-

A pytorch implementation of MINE(Mutual Information Neural Estimation)

Nystrom-method-to-speed-KPCA

Implementation of our algorithm which has improved time complexity (linear speed up) for KPCA over MATLAB's eig function.

pytorch-seq2seq

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText. [IN PROGRESS]

vision

Datasets, Transforms and Models specific to Computer Vision