orsushiva
Research Associate | Machine learning | Deep learning | Data science|| Training neural networks.
IDRBTHyderabad, India.
Pinned Repositories
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
bert
TensorFlow code and pre-trained models for BERT
Data-Analysis
A collection of examples from the domain of data analysis. Many examples follow work presented by P.K. Janert in the text Data Analysis.
Data_Science_Scratch
Code examples from: 'Data Science from Scratch' by J. Grus, oreilly books 2014
datacleaner
A Python tool that automatically cleans data sets and readies them for analysis.
DBS_Assignments
deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
discover-flask
Full Stack Web Development with Flask.
machine-learning-interview
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
orsushiva's Repositories
orsushiva/MLAlgorithms
Minimal and clean examples of machine learning algorithms implementations
orsushiva/nlp-in-python-tutorial
comparing stand up comedians using natural language processing
orsushiva/pro-machine-learning-algorithms
Source Code for 'Pro Machine Learning Algorithms' by Kishore Ayyadevara
orsushiva/introduction-to-python
A very useful collection of Jupyter Notebooks, which aims to introduce the Python programming language.
orsushiva/numerical-tours
Numerical Tours of Signal Processing
orsushiva/t81_558_deep_learning
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
orsushiva/anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
orsushiva/awesome-rl
Reinforcement learning resources curated
orsushiva/angular.js
AngularJS - HTML enhanced for web apps!
orsushiva/Weatherbot_Tutorial
orsushiva/2015
Public material for CS109
orsushiva/COMS4995-s19
COMS W4995 Applied Machine Learning - Spring 19
orsushiva/pytorch-styleguide
An unofficial styleguide and best practices summary for PyTorch
orsushiva/opencv
Open Source Computer Vision Library
orsushiva/appliedai
Website for Applied AI Conference
orsushiva/Machine-Learning-with-Python
Python code for common Machine Learning Algorithms
orsushiva/kaggle_and_analytics-vidhya-projects
orsushiva/mlcourse.ai
Open Machine Learning Course
orsushiva/Facial-Expression-Detection-System-with-Deep-Learning
Detect a person's mood based on his facial expression using deep learning model
orsushiva/distbelief
Implementing Google's DistBelief paper
orsushiva/Time_Series_Prediction
This is the code for "Time Series Prediction" By Siraj Raval on Youtube
orsushiva/keras
Deep Learning for humans
orsushiva/classnotes
ODE, Çok Değişkenli Calculus, Lineer Cebir, Hesapsal Bilim, İstatistik, Fonksiyonel Analiz, Yapay Zeka ders notlari. Lecture notes, tutorials on Linear Algebra, Computational Science, Computer Science, Statistics, Functional Analysis, ODE, Multivariate Calculus written in Latex, in Turkish
orsushiva/statsmodels
Statsmodels: statistical modeling and econometrics in Python
orsushiva/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
orsushiva/Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
orsushiva/seaborn
Statistical data visualization using matplotlib
orsushiva/data-science-ipython-notebooks
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.
orsushiva/python-bigdata
Data science and Big Data with Python
orsushiva/ExData_Plotting1
Plotting Assignment 1 for Exploratory Data Analysis