bbalaji-ucsd's Stars
CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
kjw0612/awesome-deep-vision
A curated list of deep learning resources for computer vision
yandexdataschool/Practical_RL
A course in reinforcement learning in the wild
seungeunrho/minimalRL
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
osqzss/gps-sdr-sim
Software-Defined GPS Signal Simulator
simondlevy/TinyEKF
Lightweight C/C++ Extended Kalman Filter with Python for prototyping
microsoft/ClimaX
Foundation model for weather & climate
zuoxingdong/lagom
lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
park-project/park
aws-samples/amazon-sagemaker-ground-truth-task-uis
Example task UIs for Amazon SageMaker Ground Truth
amazon-science/carbon-assessment-with-ml
CaML: Carbon Footprinting of Household Products with Zero-Shot Semantic Text Similarity
mjedmonds/OpenLockLearner-AAAI20
Repo for AAAI20 paper "Theory-based Causal Transfer: Integrating Instance-level Induction and Abstract-level Structure Learning"
AbhinavMehrotra/PrefMiner
francescofraternali/Ember
Ember: Energy Management of Battery-less Event Detection Sensors with Deep Reinforcement Learning
me-box/documents
Databox Documentation
qtu-UBC/LCI-Data-AIPrep
Use AI to prepare life cycle inventory data