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/berkeley-deep-RL-pytorch-solutions
Pytorch solutions for UC Berkeley's cs285 assignments
prasadseemakurthi/lectures2020
prasadseemakurthi/NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
prasadseemakurthi/advanced_python
Examples of advanced Python programming techniques
prasadseemakurthi/awesome-ai-ml-dl
Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.
prasadseemakurthi/aws-kubeflow-workshop
prasadseemakurthi/computervision-recipes
Best Practices, code samples, and documentation for Computer Vision.
prasadseemakurthi/cv_practice
prasadseemakurthi/d2l-pytorch
This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.
prasadseemakurthi/d2l-study-group
Deep Learning Study Group
prasadseemakurthi/data-barclays
prasadseemakurthi/data-science-interviews
Data science interview questions and answers
prasadseemakurthi/datalab
prasadseemakurthi/DS_Production
prasadseemakurthi/GDL_code
The official code repository for examples in the O'Reilly book 'Generative Deep Learning'
prasadseemakurthi/industry-machine-learning
A curated list of applied machine learning and data science notebooks and libraries across different industries.
prasadseemakurthi/LearningSparkV2
This is the github repo for Learning Spark: Lightning-Fast Data Analytics [2nd Edition]
prasadseemakurthi/lfs458-course-prep
Terraform script for LFS458 Trainer to create the students playground
prasadseemakurthi/machineintelligence
An Introduction to Machine Intelligence for Architects and other Nonengineers
prasadseemakurthi/MEDIUM_NoteBook
Repository containing notebooks of my posts on Medium
prasadseemakurthi/ML-Course-Notes
🎓 Sharing course notes on all topics related to machine learning, NLP, and AI
prasadseemakurthi/pathway
Pathway is an open framework for high-throughput and low-latency real-time data processing.
prasadseemakurthi/Production-Level-Deep-Learning
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
prasadseemakurthi/quest_qa_labeling
Google QUEST Q&A Labeling. Improving automated understanding of complex question answer content
prasadseemakurthi/RL-book
prasadseemakurthi/Skater
Python Library for Model Interpretation/Explanations
prasadseemakurthi/sklearn_custom_pipeline
Create sklearn Custom Pipeline
prasadseemakurthi/spark-nlp-workshop
Public runnable examples of using John Snow Labs' NLP for Apache Spark.
prasadseemakurthi/t81_558_deep_learning
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
prasadseemakurthi/Tensorflow2-Cookbook
Simple Tensorflow 2.x Cookbook for easy-to-use