Pinned Repositories
23-Fractionation-of-elements-between-solid-and-molten-phases-in-multi-component-Fe-Ni-X-systems
Fractionation-of-elements-between-solid-and-molten-phases-in-multi-component-Fe-Ni-X-systems
Competitive_programming
C++
computer-vision
pose_estimation, object_tracking, object_detection
devin
code-generator
edge_detection
faint curved edge detection
ISLR
An Introduction to Statistical Learning : Python code
Optical_Flow_Estimation
An end-to-end unsupervised approach for estimating Optical Flow
TMVAFastInferencePrototype
TMVA Fast Inference Prototype
AaradhyaSaxena's Repositories
AaradhyaSaxena/Competitive_programming
C++
AaradhyaSaxena/Optical_Flow_Estimation
An end-to-end unsupervised approach for estimating Optical Flow
AaradhyaSaxena/computer-vision
pose_estimation, object_tracking, object_detection
AaradhyaSaxena/edge_detection
faint curved edge detection
AaradhyaSaxena/23-Fractionation-of-elements-between-solid-and-molten-phases-in-multi-component-Fe-Ni-X-systems
Fractionation-of-elements-between-solid-and-molten-phases-in-multi-component-Fe-Ni-X-systems
AaradhyaSaxena/ISLR
An Introduction to Statistical Learning : Python code
AaradhyaSaxena/00-Salt-Identification-Challenge
TGS Salt identification challenge
AaradhyaSaxena/devin
code-generator
AaradhyaSaxena/TMVAFastInferencePrototype
TMVA Fast Inference Prototype
AaradhyaSaxena/bdutilities
bdverse supporting functionality
AaradhyaSaxena/bdutilities.app
bdverse supporting UI functionality
AaradhyaSaxena/bdverse
The main installation package to all bdverse packages
AaradhyaSaxena/bdverse-user-guide
bdverse's complete user guide :construction: :construction_worker: :construction:
AaradhyaSaxena/bigclam
Implements the bigCLAM algorithm
AaradhyaSaxena/course-v3
The 3rd edition of course.fast.ai
AaradhyaSaxena/face-recognition
Deep face recognition with Keras, Dlib and OpenCV
AaradhyaSaxena/Geophysics
Coding assignments: Geophysics
AaradhyaSaxena/graph_nets
PyTorch Implementation and Explanation of Graph Representation Learning papers involving DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
AaradhyaSaxena/IITR_seismo
Basic Seismological Tools
AaradhyaSaxena/JavaScript30
30 Day Vanilla JS Challenge
AaradhyaSaxena/marketing_analytics
AB-testing, Recommendation Engine
AaradhyaSaxena/MessagePassing_for_GNNs
Experiments with Message Passing GNNs in CPP and scratch PyTorch.
AaradhyaSaxena/newman
Newman is a command-line collection runner for Postman
AaradhyaSaxena/nights-watch
(Night’s Watch): The shield that guards the clipboard of men
AaradhyaSaxena/nightswatch-web
website for nights watch
AaradhyaSaxena/OpticalFlowToolkit
Python-based optical flow toolkit for existing popular dataset
AaradhyaSaxena/paper-explorer
AaradhyaSaxena/root
The official repository for ROOT: analyzing, storing and visualizing big data, scientifically
AaradhyaSaxena/tensorflow-models
Models and examples built with TensorFlow
AaradhyaSaxena/TMVAInference