Pinned Repositories
.vim
Vim setup
ambareeshsrja16.github.io
Portfolio
Bayesian_Statistics_git
Temp
Image_Classification_using_ResNet__American-Sign-Language-Dataset
Image Classification using ResNet - American Sign Language Dataset
Image_Segmentation_BDR
Projects using Bayesian Statistics for prediction
Prototype-selection-for-nearest-neighbor
A way to speed up nearest neighbor classification is to replace the training set by a carefully chosen subset of “prototypes”. A good strategy for choosing prototypes from the training set, bearing in mind that the ultimate goal is good classification performance, is implemented here
Python-Module-for-Missing-Data-Imputation
Python Module for Missing Data Imputation
ReinforcementLearning
Reinforcement Learning Projects
style_transfer
Real-Time Style Transfer : Improvement on the Gatys approach, which produces high-quality images, but is slow since inference requires solving an optimization problem. Justin Johnson et al. came up with a variant of style transfer that was much faster and produced similar results to the original implementation. Their approach involves training a CNN in a supervised manner, using perceptual loss function to measure the difference between output and ground-truth images.
Surgical_Tool_Tracking
Python scripts for Surgical Tool Tracking using Deep Learning for feature point extraction
ambareeshsrja16's Repositories
ambareeshsrja16/Surgical_Tool_Tracking
Python scripts for Surgical Tool Tracking using Deep Learning for feature point extraction
ambareeshsrja16/Prototype-selection-for-nearest-neighbor
A way to speed up nearest neighbor classification is to replace the training set by a carefully chosen subset of “prototypes”. A good strategy for choosing prototypes from the training set, bearing in mind that the ultimate goal is good classification performance, is implemented here
ambareeshsrja16/.vim
Vim setup
ambareeshsrja16/Python-Module-for-Missing-Data-Imputation
Python Module for Missing Data Imputation
ambareeshsrja16/Image_Classification_using_ResNet__American-Sign-Language-Dataset
Image Classification using ResNet - American Sign Language Dataset
ambareeshsrja16/Image_Segmentation_BDR
Projects using Bayesian Statistics for prediction
ambareeshsrja16/ambareeshsrja16.github.io
Portfolio
ambareeshsrja16/Bayesian_Statistics_git
Temp
ambareeshsrja16/ReinforcementLearning
Reinforcement Learning Projects
ambareeshsrja16/style_transfer
Real-Time Style Transfer : Improvement on the Gatys approach, which produces high-quality images, but is slow since inference requires solving an optimization problem. Justin Johnson et al. came up with a variant of style transfer that was much faster and produced similar results to the original implementation. Their approach involves training a CNN in a supervised manner, using perceptual loss function to measure the difference between output and ground-truth images.
ambareeshsrja16/ChalkPaint
A poor man's alternative to Varnish
ambareeshsrja16/datasets
A collection of datasets of ML problem solving
ambareeshsrja16/DDPG_Torcs_PyTorch
Using PyTorch and DDPG to play Torcs
ambareeshsrja16/Deep_Learning_BackProp
Back Prop in Fully Connected Neural Network
ambareeshsrja16/docker-trino-fed
ambareeshsrja16/druid
Apache Druid: a high performance real-time analytics database.
ambareeshsrja16/ECE143_Project
Data Analysis and Visualization Project
ambareeshsrja16/Emojify
Word vector based emojifier
ambareeshsrja16/FunctionApproximator
Function approximator to learn simple mathematical functions
ambareeshsrja16/Interesting-Programming-Challenges
Bunch of interesting programming challenges in Python
ambareeshsrja16/Latest_Resume
My latest resume
ambareeshsrja16/pandas_exercises
Practice your pandas skills!
ambareeshsrja16/profiles_rest_api
Source Code for Profiles REST API
ambareeshsrja16/Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials
ambareeshsrja16/Scripts
Reusable scripts
ambareeshsrja16/Simple_ML_Projects
Simple Machine Learning Projects
ambareeshsrja16/Utility_Functions_Python
Set of utility functions in Python for different purposes
ambareeshsrja16/vision_opencv