Atul Acharya's repositories
Robotics-ND
Robotics Nanodegree projects. Create robot using URDF. Using Mapping, Localization [SLAM] to move autonomous mobile robots.
AIND_dog_breed_classifier
AIND Dog Breed Classifier - using Transfer Learning (CNN, Deep Learning)
audio-ai-timeline
A timeline of the latest AI models for audio generation, starting in 2023!
Audio_Processing
Audio Processing for Music Applications - Coursera
AutonomousVehiclesSpecialization
Autonomous Vehicles - systems architecture - safety - robotics - perception - state-estimation - motion-planning - control
awesome-ai-music-generation
A curated compilation of AI-driven generative music resources and projects. Explore the blend of machine learning algorithms and musical creativity.
awesome-foundation-model-ros
A collection ROS projects utilizing foundation models.
awesome-python-scientific-audio
Curated list of python software and packages related to scientific research in audio
aws-deep-learning-amis
This is the documentation for AWS Deep Learning AMIs: your one-stop shop for deep learning in the cloud
covid19-dashboard
A site that displays up to date COVID-19 stats, powered by fastpages.
DeepLearningMusicGeneration
State of the Art of Music Generation with Deep Learning and AI
End-to-end-Autonomous-Driving
All you need for End-to-end Autonomous Driving
Face-Image-Motion-Model
Face Image Motion Model (Photo-2-Video) based on "first-order-model" repository.
gen_models_examples
Sample notebooks for generative models
generative-explorations
Generative-AI explorations
klone-wordle
W0rdle clone - via Replit
Lidar_For_AD_references
A list of references on lidar point cloud processing for autonomous driving
moonshine
Fast and accurate automatic speech recognition (ASR) for edge devices
ORB_SLAM3
ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM
physics
Explorable Physics is a website with course notes for algebra based physics with explorable explanations.
PythonRobotics
Python sample codes for robotics algorithms.
stat_rethinking_2023
Statistical Rethinking Course for Jan-Mar 2023