Pinned Repositories
DriveLLaVA
Training LLaVA on the CommaVQ dataset to produce tokenized control signals for driving
esp32-assembly
general-navigation
General Navigation Models based on GNM, ViNT, NoMaD as a pytorch repo for quick and easy deployment
kan-gpt
The PyTorch implementation of Generative Pre-trained Transformers (GPTs) using Kolmogorov-Arnold Networks (KANs) for language modeling
Low-Cost-Hardware-Accelerated-Vision-Based-Depth-Perception-for-Real-Time-Applications
CVMI 2022: A library to simplify disparity calculation and 3D depth map generation from a stereo pair
PAP_UE19CS306B
Python Application Programming
SOccDPT
AAIML 2024: 3D Semantic Occupancy from Dense Prediction Transformers trained under memory constraints
TCPServer
HP Assignement: PThreads. Build a multi-threaded server in C++, make use of PThreads for parallel programming.
TrajNet
ICRA 2024: A Comparative Study of RGB and Thermal Cameras for Night-Time Autonomous Navigation
OCTraN
CVPR-23 T4V: 3D Occupancy from vision in unstructured traffic scenarios
AdityaNG's Repositories
AdityaNG/kan-gpt
The PyTorch implementation of Generative Pre-trained Transformers (GPTs) using Kolmogorov-Arnold Networks (KANs) for language modeling
AdityaNG/Low-Cost-Hardware-Accelerated-Vision-Based-Depth-Perception-for-Real-Time-Applications
CVMI 2022: A library to simplify disparity calculation and 3D depth map generation from a stereo pair
AdityaNG/TCPServer
HP Assignement: PThreads. Build a multi-threaded server in C++, make use of PThreads for parallel programming.
AdityaNG/DriveLLaVA
Training LLaVA on the CommaVQ dataset to produce tokenized control signals for driving
AdityaNG/general-navigation
General Navigation Models based on GNM, ViNT, NoMaD as a pytorch repo for quick and easy deployment
AdityaNG/SOccDPT
AAIML 2024: 3D Semantic Occupancy from Dense Prediction Transformers trained under memory constraints
AdityaNG/TrajNet
ICRA 2024: A Comparative Study of RGB and Thermal Cameras for Night-Time Autonomous Navigation
AdityaNG/socc_plotter
Semantic Occupancy 3D Plotter. This is the plotter made by the SOccDPT project to create fancy 3D visuals. You can use this for your own AV or Robotics visualization!
AdityaNG/nD_VQ_VAE
PyTorch Implementation of an N-Dimensional VQ-VAE
AdityaNG/bdd_dataset_iterator
CVPR-23 T4V: Depth Perception Dataset in Bangalore
AdityaNG/3D-Occupancy-Perception
[Information Fusion 2024] A Survey on Occupancy Perception for Autonomous Driving: The Information Fusion Perspective
AdityaNG/AdityaNG
AdityaNG/adityang.github.io
AdityaNG/cranberry
Teaching LMMs to interact with computers
AdityaNG/Depth-from-Motion
[ECCV 2022 oral] Monocular 3D Object Detection with Depth from Motion
AdityaNG/gpqa
GPQA: A Graduate-Level Google-Proof Q&A Benchmark
AdityaNG/idd_iterator
AdityaNG/model_predictive_control
Python implementation of MPC solver
AdityaNG/MPCC
Model Predictive Contouring Controller (MPCC) for Autonomous Racing
AdityaNG/MyuGPT
Integrating MyuZero style intelligent graph search with LLMs
AdityaNG/open-interpreter
A natural language interface for computers
AdityaNG/PaperReview
AdityaNG/pykan
Kolmogorov Arnold Networks
AdityaNG/Rust-GPT
AdityaNG/TCP
[NeurIPS 2022] Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline.
AdityaNG/VehicleModelVisualOdometry
AdityaNG/vi_planner
[pip module for inference] ViPlanner: Visual Semantic Imperative Learning for Local Navigation
AdityaNG/VideoGPT
AdityaNG/viplanner
ViPlanner: Visual Semantic Imperative Learning for Local Navigation
AdityaNG/VIRec
Dual Camera, IMU, and GPS data recorder for Android