siddhanthaldar

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

BAKU

Code for BAKU: An Efficient Transformer for Multi-Task Policy Learning

Breast-Cancer-Detection

Code for breast cancer detection using single view and multi view ResNet 18

CUDA-CNN-Traffic-Sign-Recognition

CNN using C++ and CUDA

FISH

Code for Teach a Robot to FISH: Versatile Imitation from One Minute of Demonstrations

High-Performance-Parallel-Programming

Parallelized codes in Cuda, OpenMP and MPI

Kalman-Filter-based-Bias-Correction-for-gyroscope

Code for Kalman Filter based bias correction for gyroscope data

polytask

Code for PolyTask: Learning Unified Policies through Behavior Distillation

PyTorch_Object_Detection

PyTorch implementations of single-shot approaches for object detection in images

ROT

Code for Watch and Match: Supercharging Imitation with Regularized Optimal Transport

siddhanthaldar/ROT

Code for Watch and Match: Supercharging Imitation with Regularized Optimal Transport

siddhanthaldar/BAKU

Code for BAKU: An Efficient Transformer for Multi-Task Policy Learning

siddhanthaldar/FISH

Code for Teach a Robot to FISH: Versatile Imitation from One Minute of Demonstrations

siddhanthaldar/PyTorch_Object_Detection

PyTorch implementations of single-shot approaches for object detection in images

siddhanthaldar/CUDA-CNN-Traffic-Sign-Recognition

CNN using C++ and CUDA

siddhanthaldar/polytask

Code for PolyTask: Learning Unified Policies through Behavior Distillation

siddhanthaldar/Breast-Cancer-Detection

Code for breast cancer detection using single view and multi view ResNet 18

siddhanthaldar/High-Performance-Parallel-Programming

Parallelized codes in Cuda, OpenMP and MPI

siddhanthaldar/CE31501-Soft-Computing

Codes for the tutorials in CE31501

siddhanthaldar/Embedded-System-Codes

Codes for sensor integration using Arduino

siddhanthaldar/N-Body-Simulator

OpenMP based simulator for the n-body problem

siddhanthaldar/AIFA-Assignment-1-Multi-Agent-Path-Planning

siddhanthaldar/Advanced-Computer-Vision

Assignments for the course Advanced Computer Vision

siddhanthaldar/Android_Assignment

siddhanthaldar/byol-pytorch

Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch

siddhanthaldar/calvin

CALVIN - A benchmark for Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation Tasks

siddhanthaldar/D4RL

A collection of reference environments for offline reinforcement learning

siddhanthaldar/deep_learning_codes

Repository for keeping Deep Learning codes

siddhanthaldar/dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

siddhanthaldar/Face-Detection-in-Python-using-OpenCV

siddhanthaldar/Gymnasium-Robotics

A collection of robotics simulation environments for reinforcement learning

siddhanthaldar/Hurricane_Trajectory_Prediction

Hurricane Trajectory Prediction using Machine Learning

siddhanthaldar/Image-Segmentation

Term project for CS40019 - Image Processing

siddhanthaldar/LIBERO

Benchmarking Knowledge Transfer in Lifelong Robot Learning

siddhanthaldar/Metaworld

Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning

siddhanthaldar/Newton_Rhapson_Load_Flow_Analysis

siddhanthaldar/Open-Teach

A Versatile Teleoperation framework for Robotic Manipulation using Meta Quest3

siddhanthaldar/rlds_dataset_builder

An example RLDS dataset builder for X-embodiment dataset conversion.

siddhanthaldar/robosuite

robosuite: A Modular Simulation Framework and Benchmark for Robot Learning

siddhanthaldar/Wheel-Encoder

Here we worked on building wheel encoders using IMUs, nRF modules and Arduino Nano.