Pinned Repositories
attnGAN
Pytorch implementation for reproducing AttnGAN results in the paper AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks by Tao Xu, Pengchuan Zhang, Qiuyuan Huang, Han Zhang, Zhe Gan, Xiaolei Huang, Xiaodong He.
AuriaKathi
This repo contains code of Auria Kathi - The first Artificial Poet Artist
gospel_of_rnn
This repo contains the language modelling tasks (word level and character level) using PyTorch
hello_tensorflow
A beginner tutorial on TensorFlow, the Machine Learning Library from Google.
linear_regression_tutorial
A tutorial on Linear Regression and coding it using TensorFlow
masters_thesis_project
M. Tech. Thesis Project on Detection and Identification of Hybrid Distribution System Using Wavelet Transform and Artificial Neural Networks.
Optimization-Techniques
res_nets_tutorial
A tutorial on Residual Networks which was originally proposed by Kaiming He, Xiangyu Zhang, Shaoqing Ren and Jian Sun from Microsoft Research Team.
vanishing_gradients
This is a discussion on an old problem, named Vanishing Gradients, which hindered decades of Deep Learning Research.
yolov2-numpy-wrapper
A python wrapper to handle numpy arrays for YOLOV2.
sleebapaul's Repositories
sleebapaul/res_nets_tutorial
A tutorial on Residual Networks which was originally proposed by Kaiming He, Xiangyu Zhang, Shaoqing Ren and Jian Sun from Microsoft Research Team.
sleebapaul/attnGAN
Pytorch implementation for reproducing AttnGAN results in the paper AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks by Tao Xu, Pengchuan Zhang, Qiuyuan Huang, Han Zhang, Zhe Gan, Xiaolei Huang, Xiaodong He.
sleebapaul/AuriaKathi
This repo contains code of Auria Kathi - The first Artificial Poet Artist
sleebapaul/masters_thesis_project
M. Tech. Thesis Project on Detection and Identification of Hybrid Distribution System Using Wavelet Transform and Artificial Neural Networks.
sleebapaul/vanishing_gradients
This is a discussion on an old problem, named Vanishing Gradients, which hindered decades of Deep Learning Research.
sleebapaul/gospel_of_rnn
This repo contains the language modelling tasks (word level and character level) using PyTorch
sleebapaul/linear_regression_tutorial
A tutorial on Linear Regression and coding it using TensorFlow
sleebapaul/hello_tensorflow
A beginner tutorial on TensorFlow, the Machine Learning Library from Google.
sleebapaul/sentiment_analysis_take_off_movie
Using bookmyshow reviews, sentiments of people about the movie is plotted
sleebapaul/data_analysis_with_R_udacity
The assignments and programming tasks of free course included in Data Analyst Nanodegree offered by Facebook. I've created Jupyter Notebooks for each lesson to include code as well as class notes which will help the reader to get tutorial experience rather than just dry code.
sleebapaul/end_2_end_ML
End to end ML production pipeline from training to deployment using MLflow and Seldon Core
sleebapaul/MingleMaster
sleebapaul/Optimization-Techniques
sleebapaul/yolov2-numpy-wrapper
A python wrapper to handle numpy arrays for YOLOV2.
sleebapaul/codeforces
Adventures of a late bloomer at codeforces/leetcode
sleebapaul/datasci_course_materials
Public repository for course materials for the Data Science at Scale Specialization at Coursera
sleebapaul/deep_learning_google_udacity
Programming Assignments of Udacity Deep Learning Course by Google
sleebapaul/Handwriting-Recongnition
Recognize hand written digits using trained ANN
sleebapaul/LinkAdaptationCSI
sleebapaul/Machine-Learning-In-Basic-Python
Machine Learning Algorithms Implementations using basic Python DataStructures
sleebapaul/Machine_learning_assignments_Andrew_Ng_Coursera
Contains all MATLAB programming assignments of Machine Learning course taught by Andrew Ng
sleebapaul/MIT_6.001x-Assignments-
Introduction to computer programming using Python ( MIT 6.001x ) Assignments -Python scripts
sleebapaul/MIT_6.008.1x_Assignments
Computational Probability and Inference
sleebapaul/motion-heatmap-cpp
This sample application is useful to see movement patterns over time. For example, it could be used to see the usage of entrances to a factory floor over time, or patterns of shoppers in a store.
sleebapaul/naive_bayes_tutorial
A beginner tutorial on Naive Bayes Classifier with code to implement a Spam/Ham SMS classification
sleebapaul/ny_iso_energy_forecast_using_ARIMA
Using Auto Regressive Integrated Moving Average model, the energy forecast for New York ISO is calculated.
sleebapaul/overhead-camera-people-counter
People counting algorithm using an overhead video camera
sleebapaul/sleebapaul
sleebapaul/sleebapaul.github.io
Personal Website
sleebapaul/udacity-cpp
C++ learning and adventures