Pinned Repositories
2015-04-16-uvalib
2017
active-learning-workshop
Active Learning Workshop Materials
advanced_python
Examples of advanced Python programming techniques
AlgorithmsBook
My algorithmic design paradigms book!
anlp19
Course repo for Applied Natural Language Processing (Spring 2019)
Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)
Assignments
Assignments for COGS 108.
AtmoChem
Atmospheric chemistry data and analysis
Deep-Neural-Networks-HealthCare
Tangible and Practical Deep Learning Projects Repository for Healthcare such as Cancer, Drug Discovery, Genomic and More
prasadseemakurthi's Repositories
prasadseemakurthi/awesome-courses
:books: List of awesome university courses for learning Computer Science!
prasadseemakurthi/awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
prasadseemakurthi/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
prasadseemakurthi/cookbook
prasadseemakurthi/cs224n-winter17-notes
Course notes for CS224N Winter17
prasadseemakurthi/cs231n.github.io
Public facing notes page
prasadseemakurthi/data-science-ipython-notebooks
Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
prasadseemakurthi/fluent-python-notebooks
Jupyter notebooks and example code for the book Fluent Python
prasadseemakurthi/free-data-science-books
Free resources for learning data science
prasadseemakurthi/functional_thinking
This is the example code repository for Functional Thinking by Neal Ford (O'Reilly Media)
prasadseemakurthi/intro-to-deep-learning-for-nlp
The repository contains code walkthroughs which introduces Deep Learning in the field of Natural Language Processing.
prasadseemakurthi/ISLR-python
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013) : Python code
prasadseemakurthi/LearnDataScience
Open Content for self-directed learning in data science
prasadseemakurthi/lectures
Oxford Deep NLP 2017 course
prasadseemakurthi/ML-lib
An extensive machine learning library, made from scratch (Python).
prasadseemakurthi/ml-videos
A collection of video resources for machine learning
prasadseemakurthi/MLPrac
prasadseemakurthi/MTH594_MachineLearning
The materials for the course MTH 594 Advanced data mining: theory and applications (Dmitry Efimov, American University of Sharjah)
prasadseemakurthi/pattern_classification
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
prasadseemakurthi/pyPrac
prasadseemakurthi/PySparkGeoAnalysis
:globe_with_meridians: Interactive Workshop on GeoAnalysis using PySpark
prasadseemakurthi/RecoEngine
prasadseemakurthi/reseg
A Recurrent Neural Network for Object Segmentation
prasadseemakurthi/scala_beyond_basics
prasadseemakurthi/scala_school
Lessons in the Fundamentals of Scala
prasadseemakurthi/scikitlearn_practise
prasadseemakurthi/spark-course
Examples used in the Learning Apache Spark Course
prasadseemakurthi/stat-cookbook
:orange_book: The probability and statistics cookbook
prasadseemakurthi/tf-stanford-tutorials
This repository contains code examples for the course CS 20SI: TensorFlow for Deep Learning Research.
prasadseemakurthi/webinars
Code and slides for RStudio webinars