Pinned Repositories
18337
18.337 - Parallel Computing and Scientific Machine Learning
Automated-discovery-of-characteristic-features-of-phase-transitions-in-many-body-localization
New Project
Building-a-classifer-with-Pytorch
This project includes all what you need to build a classifier with Pytorch on the Google Colab platform (for using free GPUs)
dopamine
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
lab_gui
A software to assist experimenters with hardware manipulation, data acquisition and analysis in the ultracold atom laboratory.
nvidia-gpu-ml-library-test
Simple tests for JAX, PyTorch, and TensorFlow to test if the installed NVIDIA drivers are being properly picked up
PRML
PRML algorithms implemented in Python
pytorch-Deep-Learning
Deep Learning (with PyTorch)
rl-ion-trap-tutorial
In this tutorial we interactively design and explore a reinforcement learning environment for ion trap quantum computers.
scnuthesis
符合华南师范大学硕士/博士学位论文格式要求的LaTeX模板。
adambot806's Repositories
adambot806/lab_gui
A software to assist experimenters with hardware manipulation, data acquisition and analysis in the ultracold atom laboratory.
adambot806/Automated-discovery-of-characteristic-features-of-phase-transitions-in-many-body-localization
New Project
adambot806/Building-a-classifer-with-Pytorch
This project includes all what you need to build a classifier with Pytorch on the Google Colab platform (for using free GPUs)
adambot806/pytorch-Deep-Learning
Deep Learning (with PyTorch)
adambot806/18337
18.337 - Parallel Computing and Scientific Machine Learning
adambot806/dopamine
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
adambot806/nvidia-gpu-ml-library-test
Simple tests for JAX, PyTorch, and TensorFlow to test if the installed NVIDIA drivers are being properly picked up
adambot806/PRML
PRML algorithms implemented in Python
adambot806/rl-ion-trap-tutorial
In this tutorial we interactively design and explore a reinforcement learning environment for ion trap quantum computers.
adambot806/scnuthesis
符合华南师范大学硕士/博士学位论文格式要求的LaTeX模板。
adambot806/t81_558_deep_learning
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks