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/Deep-Neural-Networks-HealthCare
Tangible and Practical Deep Learning Projects Repository for Healthcare such as Cancer, Drug Discovery, Genomic and More
prasadseemakurthi/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! 😀)
prasadseemakurthi/AtmoChem
Atmospheric chemistry data and analysis
prasadseemakurthi/automated-feature-engineering
Automated feature engineering in Python with feature tools
prasadseemakurthi/competitive-data-science
Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course
prasadseemakurthi/concourse-tutorial
Learn to use https://concourse.ci with this linear sequence of tutorials. Learn each concept that builds on the previous concept.
prasadseemakurthi/Data-Analysis
Data Analysis Using Python
prasadseemakurthi/data_science_resources
prasadseemakurthi/dist-keras
Distributed Deep Learning, with a focus on distributed training, using Keras and Apache Spark.
prasadseemakurthi/DL4NLP
Deep Learning for NLP resources
prasadseemakurthi/DSE210_Probability_Statistics_Python
Probability and Statistics Using Python Data Science Masters Course at UCSD (DSE 210)
prasadseemakurthi/dviz-course
Data visualization course material
prasadseemakurthi/exl-train
material
prasadseemakurthi/fastai
The fast.ai deep learning library, lessons, and tutorials
prasadseemakurthi/feature-selector
Development and implementation of the feature selector
prasadseemakurthi/forecasting_energy
Forecasting energy time series
prasadseemakurthi/intro-to-dl
Resources for "Introduction to Deep Learning" course.
prasadseemakurthi/learn_math_fast
This is the Curriculum for "How to Learn Mathematics Fast" By Siraj Raval on Youtube
prasadseemakurthi/Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
prasadseemakurthi/ML-From-Scratch
Machine Learning From Scratch. Bare bones Python implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.
prasadseemakurthi/NETL-Automatic-Topic-Labelling-
Generating labels for topics automatically using neural embeddings
prasadseemakurthi/nlp-architect
NLP Architect by Intel AI Lab: Python library for exploring the state-of-the-art deep learning topologies and techniques for natural language processing and natural language understanding
prasadseemakurthi/Reinforcement-Learning-CS6700
This repository contains all my theroy reports, written assignments and programming code that I wrote/referrd for the RL course at IIT,Madras.
prasadseemakurthi/scipy-lecture-notes
Tutorial material on the scientific Python ecosystem
prasadseemakurthi/spark-notebook
Launch Apache Spark and Jupyter Notebook on Amazon Web Services.
prasadseemakurthi/stats385.github.io
Stats 385 course website
prasadseemakurthi/study-group
Deep Learning Study Group
prasadseemakurthi/tensorflow
Practise for Tensorflow
prasadseemakurthi/tensorflow-resources
Curated Tensorflow code resources to help you get started with Deep Learning.
prasadseemakurthi/yandex-algorithm-ml-track-2018