htang7415's Stars
josephmisiti/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
PKUFlyingPig/cs-self-learning
计算机自学指南
labmlai/annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
jax-ml/jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
ZuzooVn/machine-learning-for-software-engineers
A complete daily plan for studying to become a machine learning engineer.
ujjwalkarn/Machine-Learning-Tutorials
machine learning and deep learning tutorials, articles and other resources
google/uncertainty-baselines
High-quality implementations of standard and SOTA methods on a variety of tasks.
bgavran/Category_Theory_Machine_Learning
List of papers studying machine learning through the lens of category theory
AspirinCode/papers-for-molecular-design-using-DL
List of Molecular and Material design using Generative AI and Deep Learning
gordicaleksa/get-started-with-JAX
The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning about the JAX ecosystem.
hyperai/awesome-ai4s
AI for Science 论文解读合集（持续更新ing），论文/数据集/教程下载：hyper.ai
wengong-jin/icml18-jtnn
Junction Tree Variational Autoencoder for Molecular Graph Generation (ICML 2018)
hongtaoh/cv_emulate
Academic CVs that you can emulate
wengong-jin/hgraph2graph
Hierarchical Generation of Molecular Graphs using Structural Motifs
emdgroup/baybe
Bayesian Optimization and Design of Experiments
simongravelle/lammps-input-files
LAMMPS inputs and data files
orbital-materials/orb-models
ORB forcefield models from Orbital Materials
RadonPy/RadonPy
RadonPy is a Python library to automate physical property calculations for polymer informatics.
AspirinCode/awesome-AI4MolConformation-MD
List of molecules (small molecules, RNA, peptide, protein, enzymes, antibody, and PPIs) conformations and molecular dynamics (force fields) using generative artificial intelligence and deep learning
pittisl/Generative-AI-Tutorial
A subjective learning guide for generative AI research
ulissigroup/uncertainty_benchmarking
Various code/notebooks to benchmark different ways we could estimate uncertainty in ML predictions.
materials-data-facility/awesome-bayesian-optimization
Novartis/UNIQUE
A Python library for benchmarking uncertainty estimation and quantification methods for Machine Learning models predictions.
salmanmaq/academic-cv-template
CV to use for PhD position applications
nimsos-dev/nimsos
usccolumbia/materialsUQ
Uncertainty Quantification for Materials Property Prediction: a Benchmark Study
AudOlivier/UQ_in_ML
Ramprasad-Group/polyVERSE
polyVERSE is a comprehensive repository of informatics-ready datasets curated by the Ramprasad Group.
Mechazo11/phd_cv_latex
My Ph.D. CV created using Claud D. Park's Awesome CV Latex Template
afbat/CV-Template
Adapted from Awesome CV LaTeX template for community-engaged information, media, and communication PhD student. For use in Overleaf