uhvardhan
Postdoctoral Fellow at University of South Alabama
University of South AlabamaMobile, Alabama
uhvardhan's Stars
codecrafters-io/build-your-own-x
Master programming by recreating your favorite technologies from scratch.
jax-ml/jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
AtsushiSakai/PythonRobotics
Python sample codes for robotics algorithms.
rasbt/deeplearning-models
A collection of various deep learning architectures, models, and tips
bulletphysics/bullet3
Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.
visenger/awesome-mlops
A curated list of references for MLOps
audreyfeldroy/cookiecutter-pypackage
Cookiecutter template for a Python package.
llSourcell/learn_math_fast
This is the Curriculum for "How to Learn Mathematics Fast" By Siraj Raval on Youtube
Michael0x2a/curated-programming-resources
A curated list of resources for learning programming.
mithi/robotics-coursework
🤖 Places where you can learn robotics (and stuff like that) online 🤖
SheffieldML/GPy
Gaussian processes framework in python
krasserm/bayesian-machine-learning
Notebooks about Bayesian methods for machine learning
gaoxiang12/slambook-en
The English version of 14 lectures on visual SLAM.
utiasDSL/gym-pybullet-drones
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
SheffieldML/GPyOpt
Gaussian Process Optimization using GPy
dragonfly/dragonfly
An open source python library for scalable Bayesian optimisation.
gisbi-kim/PyICP-SLAM
Full-python LiDAR SLAM using ICP and Scan Context
michiganrobotics/rob101
Pilot course for Robotics 101: Computational Linear Algebra
rossant/awesome-scientific-python
A curated list of awesome scientific Python resources
iamtrask/OM-Welcome-Package
Everything you need to know to contribute to OpenMined!
RoboStack/robostack.github.io
malintha/multi_uav_simulator
A drone swarm simulator based on ROS (Robot Operating System).
berkeleydeeprlcourse/homework_fall2021
Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2021)
RudrakshTuwani/Football-Data-Analysis-and-Prediction
whoenig/uav_trajectories
Helper scripts and programs for trajectories
distillpub/post--bayesian-optimization
Exploring Bayesian Optimization
bitcraze/crazyflie-simulation
sigopt/evalset
Benchmark suite of test functions suitable for evaluating black-box optimization strategies
shushuai3/multi-robot-localization
Simulation of a swarm of robots with range-based relative localization
prfraanje/quadcopter_sim
simulation of quadcopter using pybullet (calculations) and pyqtgraph (visualisation)