Pinned Repositories
Bayesian-Inference
Inference using Markov Chain Monte Carlo techniques
DeepPose
Human Pose Estimation using Leeds Sports Poses Dataset
Interactive-Reinforcement-Learning
Reinforcement Learning to automatically control a car wiper system according to the weather conditions and the driver behavior.
Linear-regression
mlkit
A collection of sample apps to demonstrate how to use Google's ML Kit APIs on Android and iOS
Optimizing-Deep-Learning-models
Here are Jupyter Notebooks that demonstrate pruning and quantization of the Fashion-MNIST Classification model in Pytorch. Also, using Torchscript, one can easily deploy these models on a C++ platform.
SfM
Structure from Motion - 3D Reconstruction
Using-Python-to-Access-Web-Data
This is a course on coursera.org. This course will show how one can treat the Internet as a source of data. We will scrape, parse, and read web data as well as access data using web APIs. It shows how to work with HTML, XML, and JSON data formats in Python.
Spandana-K-R's Repositories
Spandana-K-R/DeepPose
Human Pose Estimation using Leeds Sports Poses Dataset
Spandana-K-R/Optimizing-Deep-Learning-models
Here are Jupyter Notebooks that demonstrate pruning and quantization of the Fashion-MNIST Classification model in Pytorch. Also, using Torchscript, one can easily deploy these models on a C++ platform.
Spandana-K-R/SfM
Structure from Motion - 3D Reconstruction
Spandana-K-R/Bayesian-Inference
Inference using Markov Chain Monte Carlo techniques
Spandana-K-R/Interactive-Reinforcement-Learning
Reinforcement Learning to automatically control a car wiper system according to the weather conditions and the driver behavior.
Spandana-K-R/Linear-regression
Spandana-K-R/mlkit
A collection of sample apps to demonstrate how to use Google's ML Kit APIs on Android and iOS
Spandana-K-R/Using-Python-to-Access-Web-Data
This is a course on coursera.org. This course will show how one can treat the Internet as a source of data. We will scrape, parse, and read web data as well as access data using web APIs. It shows how to work with HTML, XML, and JSON data formats in Python.