D-Berg's Stars
rust-ml/linfa
A Rust machine learning framework.
LaurentMazare/tch-rs
Rust bindings for the C++ api of PyTorch.
vadixidav/toil
An n-dimensional array library that uses wgpu to run compute shaders on all wgpu backends (and multiple at once)
tensorflow/rust
Rust language bindings for TensorFlow
calebwin/emu
The write-once-run-anywhere GPGPU library for Rust
racnan/rust-flocking-simulation
Implementation of Craig Reynolds Flocking algorithm in RUST
michaeleisel/zld
A faster version of Apple's linker
one-dark/iterm-one-dark-theme
One Dark theme for iTerm2.
stefan-jansen/machine-learning-for-trading
Code for Machine Learning for Algorithmic Trading, 2nd edition.
microsoft/vscode-jupyter
VS Code Jupyter extension
extendr/extendr
R extension library for rust designed to be familiar to R users.
eddelbuettel/rquantlib
R interface to the QuantLib library
lballabio/QuantLib
The QuantLib C++ library
AI4Finance-Foundation/FinRL
FinRL: Financial Reinforcement Learning. 🔥
fireship-io/cramer-algo-trader
Trade Stocks with Node.js, Alpaca, and GPT-3
alpacahq/alpaca-trade-api-python
Python client for Alpaca's trade API
wilsonfreitas/awesome-quant
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
ManimCommunity/manim
A community-maintained Python framework for creating mathematical animations.
3b1b/manim
Animation engine for explanatory math videos
kassambara/factoextra
Extract and Visualize the Results of Multivariate Data Analyses
google/tf-quant-finance
High-performance TensorFlow library for quantitative finance.
AlbertoAlmuinha/garchmodels
The Tidymodels Extension for GARCH models
niuers/Linear-Algebra-and-Learning-from-Data
Solutions to the problems in the book: Linear Algebra and Learning from Data by Gilbert Strang, MIT
dandavison/delta
A syntax-highlighting pager for git, diff, grep, and blame output
sharkdp/hyperfine
A command-line benchmarking tool
imsnif/bandwhich
Terminal bandwidth utilization tool
mnielsen/neural-networks-and-deep-learning
Code samples for my book "Neural Networks and Deep Learning"
hollance/neural-engine
Everything we actually know about the Apple Neural Engine (ANE)
xrobin/pROC
Display and analyze ROC curves in R and S+
jeffheaton/t81_558_deep_learning
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis