tmpethick's Stars
alshedivat/al-folio
A beautiful, simple, clean, and responsive Jekyll theme for academics
mb21/panwriter
Markdown editor with pandoc integration and paginated preview.
ray-project/ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
ooibc88/dropout
Effective and efficient dropout for deep convolutional neural networks
MichaelMure/git-bug
Distributed, offline-first bug tracker embedded in git, with bridges
MadryLab/robustness
A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.
MadryLab/cifar10_challenge
A challenge to explore adversarial robustness of neural networks on CIFAR10.
eladhoffer/convNet.pytorch
ConvNet training using pytorch
vincentdoerig/latex-css
LaTeX.css is a CSS library that makes your website look like a LaTeX document
tomduck/pandoc-fignos
A pandoc filter for numbering figures and figure references.
QBobWatson/gt-linalg
Interactive Linear Algebra, free online textbook at Georgia Tech
foambubble/foam
A personal knowledge management and sharing system for VSCode
org-roam/org-roam
Rudimentary Roam replica with Org-mode
davidfor/calibre-annotations
A calibre UI plugin that fetches and imports annotations from a variety of readers and iOS applications
athensresearch/athens
Athens is no longer maintainted. Athens was an open-source, collaborative knowledge graph, backed by YC W21
rpsychologist/likelihood
ARCHIVED: this repo has been merged with https://github.com/rpsychologist/rpsychologist-com
RuiShu/nn-bayesian-optimization
We use a modified neural network instead of Gaussian process for Bayesian optimization.
kd383/GPML_SLD
Scalable Log Determinants for Gaussian Process Kernel Learning (https://arxiv.org/abs/1711.03481) (NIPS 2017)
paulcon/as-data-sets
Active Subspace Data Sets
pytorch/botorch
Bayesian optimization in PyTorch
jbmouret/matplotlib_for_papers
Handout for the tutorial "Creating publication-quality figures with matplotlib"
unconed/mathbox
Presentation-quality WebGL math graphing
IDSIA/sacred
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
cornellius-gp/gpytorch
A highly efficient implementation of Gaussian Processes in PyTorch
google/jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
epfml/ML_course
EPFL Machine Learning Course, Fall 2023
mazhar-ansari-ardeh/BenchmarkFcns
A Python and MATLAB implementation of mathematical test functions for benchmarking optimization algorithms.
sigopt/evalset
Benchmark suite of test functions suitable for evaluating black-box optimization strategies
3b1b/manim
Animation engine for explanatory math videos
hoangcuong2011/Good-Papers
I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers