Name: Rajendra K C Khatri
Type: User
Company: University of Texas at Dallas
Bio: Ph.D. in Applied Mathematics | Machine Learning, Deep Learning, and Data Science enthusiast.
Twitter: rajendraksee
Location: Dallas,Texas
Rajendra K C Khatri's Projects
30 days of Python programming challenge is a step by step guide to learn Python programming language in 30 days.
500 AI Machine learning Deep learning Computer vision NLP Projects with code
This project is part of the Coursera capstone project.
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Machine learning datasets used in tutorials on MachineLearningMastery.com
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
Notebooks for learning deep learning
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
TensorFlow examples
Draft of the fastai book
A robot powered training repository :robot:
Hands-On Machine Learning for Algorithmic Trading, published by Packt
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Katacoda Scenarios
📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.
Jupyter notebooks for teaching/learning Python 3
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
👩🏻🏫 Slides for OpenIntro Statistics
Research papers with annotations, illustrations and explanations
Code repository for O'Reilly book
All Algorithms implemented in Python
Tunable U-Net implementation in PyTorch
Code for "Deep Snake for Real-Time Instance Segmentation" CVPR 2020 oral