Dipti Sengupta's repositories
Pretrained-Language-Model
Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.
mindsdb
In-Database Machine Learning
openems
OpenEMS - Open Source Energy Management System
ZAP-HPO-NLP
Test the adaptation of the ZAP-HPO framework for the NLP domain
f2010126
Config files for my GitHub profile.
aws-cv-task2vec
Official code for the paper "Task2Vec: Task Embedding for Meta-Learning" (https://arxiv.org/abs/1902.03545, ICCV 2019)
automl_decathlon_starter_kit
Own copy to see how it works
Zero-shot-Instance-Segmentation
code for CVPR paper Zero-shot Instance Segmentation
object-centric-ovd
[NeurIPS 2022] Official repository of paper titled "Bridging the Gap between Object and Image-level Representations for Open-Vocabulary Detection".
papers-with-everything
Machine Learning papers with code, data and models
Lottery-Ticket-Hypothesis-in-Pytorch
This repository contains a Pytorch implementation of the paper "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks" by Jonathan Frankle and Michael Carbin that can be easily adapted to any model/dataset.
mildlyoverfitted
Paper implementations from scratch and machine learning tutorials
SimSiam-91.9-top1-acc-on-CIFAR10
Pytorch implementation of the paper Exploring Simple Siamese Representation Learning.
metassl
Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch
Network_Trimming_Pytorch
Implementation network trimming using pytorch
Hacktoberfest-Contribution
Hacktoberfest Repo
CodeworkRandom
All random bits of code written and not uploaded to its own repo
open_lth
A repository in preparation for open-sourcing lottery ticket hypothesis code.
GTN
(partial) replication of results from https://arxiv.org/abs/1912.07768
PyTorch-Pruning-Example
PyTorch Pruning Example
examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
LTH_ivallesp
Lottery-ticket hypothesis primer. Simple implementation in Keras and TF.
DL_Labs
Code for DL Labs.Old and New. Work in progress.
introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
BioLabWS20121
Last 3 assignments for Bio Lab
Lottery-Ticket-Hypothesis
Project with Jack Weitze
DL_Flower_Classification
Optional competition for DL-WS2020/2021
TimescaleDB-Dash-Flask
Template for creating a Python Flask/Dash/Plotly single-page-application (SPA) for interactively charting IoT-type time series data stored in TimescaleDB (a PostgreSQL extension optimized for time-series data).
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.