analysis-of-gan-approaches-on-mnist-using-tf2.0

The Generative Adversarial Networks with Python would serve as our primary reference throughout the project. The models would be trained on the MNIST dataset. The official TensorFlow framework and documentation will be used to implement the different architectures on Python. These papers would be used to implement various evaluation met

curobo

CUDA Accelerated Robot Library

deep-learning-for-robotics-project

Contact-grasp net + Affordance Novelty

diff-gaussian-rasterization

CUDA-Rasterization-Forked

eecs-471-mxnet-project

Private repo for EECS-471 Applied GPU Programming FInal Project. Goal is to perform optimization in the forward convolution pass using the MXNet Library and CUDA programming.

face-detection-hackathon

Worked on creating a all in one solution for various sub problems of face detection which includes Blur detection , Professionalism check , Spoof detection , Watermark detection and Obstruction detection.

gan-pix2pix

Training a GAN using Pix2Pix model to solve the image translation problem of converting satellite photos to Google maps and vice versa.

gaussian-splatting-pytorch

Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

gl_2022

Grasp Localization project

harikrishnan06082k

Profile Description

harikrishnan06082k.github.io

introduction-to-manipulation

Python scripts of the assignments in ROB 599 Introduction to Manipulation (Fall 2023)

llff

Code release for Local Light Field Fusion at SIGGRAPH 2019

machine-learning

Here are all my projects in Machine Learning and Data Science.

nerf-reflection

Code release for NeRFReN: Neural Radiance Fields with Reflections (CVPR 2022).

neural-ode-robot-learning

Cartpole dynamics prediction using neural ode solver with Gym space.

posecnn

PyTorch implementation of PoseCNN

rl-grid

Reinforcement learning DQN Implementation to drive agent to goal in desired trajectory. Custom Gym space for 3x3 Grid.

rl_dqn_planar_pushing_abb

Implementation of DQN Network in ABB YuMi Manipulator to do planar pushing under external perturbance.

robot-learning-for-planning-and-control

Topics include function approximation, learning dynamics, using learned dynamics in control and planning, handling uncertainty in learned models, learning from demonstration, and model-based and model-free reinforcement learning.

two-stage-object-detector-faster-r-cnn

Object Detector Faster RCNN with Feature Pyramid Network and RegNetX-400MF as the backbone.