Jeetkarsh
Jeet is an experienced Data Scientist carrying 6+years of applied Industrial experience in Machine Learning, Deep Learning, Computer Vision & Natural Language P
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Pinned Repositories
2016-new-coder-survey
ai-saturdays
arxiv-sanity-preserver
Web interface for browsing, search and filtering recent arxiv submissions
Assignment-Niki
Identify Question Type: Given a question, the aim is to identify the category it belongs to. The four categories to handle for this assignment are : Who, What, When, Affirmation(yes/no). Label any sentence that does not fall in any of the above four as "Unknown" type.
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
FreeCodeCamp
The https://FreeCodeCamp.com open source codebase and curriculum. Learn to code and help nonprofits.
nbdev-template
practical-machine-learning-with-python
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
Tensorflow-Segmentation
Semantic image segmentation in Tensorflow
Jeetkarsh's Repositories
Jeetkarsh/nbdev-template
Jeetkarsh/practical-machine-learning-with-python
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
Jeetkarsh/Tensorflow-Segmentation
Semantic image segmentation in Tensorflow
Jeetkarsh/ai-saturdays
Jeetkarsh/arxiv-sanity-preserver
Web interface for browsing, search and filtering recent arxiv submissions
Jeetkarsh/Assignment-Niki
Identify Question Type: Given a question, the aim is to identify the category it belongs to. The four categories to handle for this assignment are : Who, What, When, Affirmation(yes/no). Label any sentence that does not fall in any of the above four as "Unknown" type.
Jeetkarsh/awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
Jeetkarsh/BBox-Label-Tool
A simple tool for labeling object bounding boxes in images
Jeetkarsh/chatgpt-retrieval-plugin
The ChatGPT Retrieval Plugin lets you easily search and find personal or work documents by asking questions in everyday language.
Jeetkarsh/cloud-gpus
This repository contains information about Cloud GPU offerings for Machine Learning practitioners.
Jeetkarsh/DeepFake
This is an update to faceit_live using first order model
Jeetkarsh/dlib
A toolkit for making real world machine learning and data analysis applications in C++
Jeetkarsh/EmoPy
A deep neural net toolkit for emotion analysis via Facial Expression Recognition (FER)
Jeetkarsh/fastai
The fast.ai deep learning library, lessons, and tutorials
Jeetkarsh/fastai-shell
Jeetkarsh/fastai_deeplearn_part1
Notes for Fastai Deep Learning Course - Part 1 v2
Jeetkarsh/GCP_SHELL
Repo Containing scripts to setup GCP premptible instance
Jeetkarsh/google-images-download
Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!
Jeetkarsh/hello_nbdev
Testing nbdev
Jeetkarsh/Jeetkarsh.github.io
Jeetkarsh/kaggle-learning
Repository for sharing the knowledge from the learning path of Kaggle Learning. All contributions welcome :).
Jeetkarsh/learnopencv
Learn OpenCV : C++ and Python Examples
Jeetkarsh/machine-learning-projects
Jeetkarsh/NAMAS
Neural Attention Model for Abstractive Summarization
Jeetkarsh/ODSC_APAC
This repo contains all 3 notebooks that I used in my session on Interpretable AI : Making Black Box Models Explainable
Jeetkarsh/pytorch_tiramisu
FC-DenseNet in PyTorch for Semantic Segmentation
Jeetkarsh/Sentiment_Anaysis
To do Sentiment analysis on Twitter data Using google Word2Vec
Jeetkarsh/twitter-analytics-wrapper
A simple Python wrapper to download tweets from the Twitter Analytics platform. Particularly interesting for the impressions metrics that are unavailable on current Twitter API.
Jeetkarsh/Twitter_Flask
Contains code to Deploy Twitter Sentiment evaluator
Jeetkarsh/Windows-Machine-Learning
Samples and Tools for Windows ML.