Chandramouli Rajagopalan's repositories
pytorch_depth_and_motion_planning
This project is an unofficial PyTorch implementation of https://github.com/google-research/google-research/tree/master/depth_and_motion_learning
pl-dreamer
Simplistic Pytorch Implementation of the Dreamer-RL
learned-data-augmentation
VAE learned on augmented data to improve generalization.
Final-GSoC-Report
GSoC report of Chandramouli Rajagopalan under Debian Android Tools
adanet
Fast and flexible AutoML with learning guarantees.
cogutil
Very low-level C++ programming utilities used by several components
DataAugmentationForObjectDetection
Data Augmentation For Object Detection
IPC
Incremental Potential Contact (IPC) is for robust and accurate time stepping of nonlinear elastodynamics. IPC guarantees intersection- and inversion-free trajectories regardless of materials, time-step sizes, velocities, or deformation severity.
Jarvis1_0
Virtual Assistant built with all the python packages.
JSON_PARSER
to convert .bp to json format
maskrcnn-benchmark
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
mmdetection
Open MMLab Detection Toolbox and Benchmark
Open3D
Open3D: A Modern Library for 3D Data Processing
opencog
A framework for integrated Artificial Intelligence & Artificial General Intelligence (AGI)
pymake
Makefile generator for debian packages
requests-for-research
A living collection of deep learning problems
ure
Unified Rule Engine. Graph rewriting system for the AtomSpace. Used as reasoning engine for OpenCog.
vmo-score
Automatic Construction of Interactive Machine Improvisation Scenarios from Audio Recordings
webscraping
This repository scraps the property website (eg : zolostays) for information regarding types of rooms available, cost and location at the given input area in a city.