ngocdha's Stars
jatin-47/QGSS-2021
Qiskit Global Summer School 2021 hosted by IBM Quantum, focused on Quantum Machine Learning.
shivaangi/qgss21-lab
Problem statements and their solutions from Qiskit Global Summer School 2021.
leanprover-community/lean
Lean 3 Theorem Prover (community fork)
leanprover-community/mathlib3
Lean 3's obsolete mathematical components library: please use mathlib4
erichson/ristretto
Randomized Dimension Reduction Library
mitmath/6S083
Materials for MIT 6.S083 / 18.S190: Computational thinking with Julia + application to the COVID-19 pandemic
facebookresearch/faiss
A library for efficient similarity search and clustering of dense vectors.
codidact/core
The core Codidact Q&A software implementation
scikit-tda/scikit-tda
Topological Data Analysis for Python🐍
aamini/introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Eetion/Eirene.jl
Julia library for homological persistence
academicpages/academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Xtra-Computing/thundergbm
ThunderGBM: Fast GBDTs and Random Forests on GPUs
pukkapies/igssm
Repository for the Introduction to Machine Learning and Deep Learning course as part of the International Graduate Summer School in Mathematics
probcomp/Gen.jl
A general-purpose probabilistic programming system with programmable inference
StanJulia/CmdStan.jl
CmdStan.jl v6 provides an alternative, older Julia wrapper to Stan's `cmdstan` executable. CmdStan will be deprecated in 2022.
TuringLang/Turing.jl
Bayesian inference with probabilistic programming.
GokuMohandas/Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
BachiLi/redner
Differentiable rendering without approximation.
pyro-ppl/pyro
Deep universal probabilistic programming with Python and PyTorch
EpistasisLab/tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
google/dopamine
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Kagami/go-face
:mag: Face recognition with Go
aimacode/aima-python
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
antmarakis/aima-go
Unofficial Go implementation of algorithms from Russell and Norvig's "Artificial Intelligence - A Modern Approach"
aimacode/aima-data
Data files to accompany the algorithms from Norvig And Russell's "Artificial Intelligence - A Modern Approach"