Pinned Repositories
Algorithms-for-medical-image-processing-IIT-Bombay
Our implementation of course assignments and the course project.
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
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.
Exemplar-Based-Inpainting
Exemplar Based Inpainting
Existence-of-sparse-basis-for-deep-learning-kernels
Deep Neural Networks for Sparse KPCA
SelectiveForgetting
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.
Ifood-challenge-2018
Trying the Ifood Challenge 2018
AdityaGolatkar's Repositories
AdityaGolatkar/SelectiveForgetting
AdityaGolatkar/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
AdityaGolatkar/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
AdityaGolatkar/Sparse-Kernel-PCA-for-outlier-detection
Our codes and results for our work on SKPCA for outlier detection.
AdityaGolatkar/Exemplar-Based-Inpainting
Exemplar Based Inpainting
AdityaGolatkar/Algorithms-for-medical-image-processing-IIT-Bombay
Our implementation of course assignments and the course project.
AdityaGolatkar/DC-INVASE
Extended INVASE (ICLR 2019) to images. Results generated can be found in the ICLR paper.
AdityaGolatkar/Document-Summarization-by-key-sentence-extraction-using-NN
Codes and reports of the Foundations Machine Learning (CS 403 IIT Bombay) course project.
AdityaGolatkar/Existence-of-sparse-basis-for-deep-learning-kernels
Deep Neural Networks for Sparse KPCA
AdityaGolatkar/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.
AdityaGolatkar/Mutual-Information
AdityaGolatkar/over-parametrization
Computing various norms/measures on over-parametrized neural networks
AdityaGolatkar/RL-Adventure
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
AdityaGolatkar/Robust-classification-and-feature-selection
AdityaGolatkar/Texture-Synthesis
AdityaGolatkar/Wong-Orchard-Exemplar-Based-Inpainting
AdityaGolatkar/AdityaGolatkar
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
AdityaGolatkar/all-conv-pytorch
Pytorch implementation of "Striving for Simplicity: The All Convolutional Net" (https://arxiv.org/abs/1412.6806)
AdityaGolatkar/Digital-Image-Processing-IIT-Bombay
Codes for DIP course (CS 663) IIT Bombay
AdityaGolatkar/Flow-based-image-extraction
AdityaGolatkar/KPCA_PPCA
Codes for KPCA and PPCA along with the corresponding papers for character and digits dataset.
AdityaGolatkar/MAML-Pytorch
Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)
AdityaGolatkar/Microprocessor-Lab-IIT-Bombay
Codes for Microprocessor Lab at IIT Bombay
AdityaGolatkar/Microprocessor-Lab-Project-IIT-Bombay
Codes along with describing images for Microprocessor Lab Project IIT Bombay
AdityaGolatkar/MINE-Mutual-Information-Neural-Estimation-
A pytorch implementation of MINE(Mutual Information Neural Estimation)
AdityaGolatkar/Nystrom-method-to-speed-KPCA
Implementation of our algorithm which has improved time complexity (linear speed up) for KPCA over MATLAB's eig function.
AdityaGolatkar/pytorch-seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText. [IN PROGRESS]
AdityaGolatkar/vision
Datasets, Transforms and Models specific to Computer Vision