ngocdha

ngocdha's Stars

• GokuMohandas/Made-With-ML

  Learn how to design, develop, deploy and iterate on production-grade ML applications.

  Language:Jupyter Notebook37.9k1.2k736k

• facebookresearch/faiss

  A library for efficient similarity search and clustering of dense vectors.

  Language:C++32.3k4792.5k3.7k

• academicpages/academicpages.github.io

  Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

  Language:JavaScript12.9k9237945k

• google/dopamine

  Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

  Language:Jupyter Notebook10.6k4241701.4k

• EpistasisLab/tpot

  A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

  Language:Python9.8k2899231.6k

• pyro-ppl/pyro

  Deep universal probabilistic programming with Python and PyTorch

  Language:Python8.6k2001.1k984

• aimacode/aima-python

  Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

  Language:Jupyter Notebook8.1k3363983.8k

• aamini/introtodeeplearning

  Lab Materials for MIT 6.S191: Introduction to Deep Learning

  Language:Jupyter Notebook7.3k2921003.7k

• TuringLang/Turing.jl

  Bayesian inference with probabilistic programming.

  Language:Julia2.1k521.1k219

• probcomp/Gen.jl

  A general-purpose probabilistic programming system with programmable inference

  Language:Julia1.8k76300162

• leanprover-community/mathlib3

  Lean 3's obsolete mathematical components library: please use mathlib4

  Language:Lean1.7k53362298

• BachiLi/redner

  Differentiable rendering without approximation.

  Language:NASL1.4k43147140

• Kagami/go-face

  :mag: Face recognition with Go

  Language:Go1.1k3494171

• Xtra-Computing/thundergbm

  ThunderGBM: Fast GBDTs and Random Forests on GPUs

  Language:C++695268188

• scikit-tda/scikit-tda

  Topological Data Analysis for Python🐍

  Language:Python527182254

• mitmath/6S083

  Materials for MIT 6.S083 / 18.S190: Computational thinking with Julia + application to the COVID-19 pandemic

  Language:Jupyter Notebook503452166

• leanprover-community/lean

  Lean 3 Theorem Prover (community fork)

  Language:C++4332820580

• aimacode/aima-data

  Data files to accompany the algorithms from Norvig And Russell's "Artificial Intelligence - A Modern Approach"

  270325270

• codidact/core

  The core Codidact Q&A software implementation

  Language:C#259374620

• Eetion/Eirene.jl

  Julia library for homological persistence

  Language:Julia116123021

• erichson/ristretto

  Randomized Dimension Reduction Library

  Language:Jupyter Notebook11692326

• StanJulia/CmdStan.jl

  CmdStan.jl v6 provides an alternative, older Julia wrapper to Stan's `cmdstan` executable. CmdStan will be deprecated in 2022.

  Language:Julia3047612

• jatin-47/QGSS-2021

  Qiskit Global Summer School 2021 hosted by IBM Quantum, focused on Quantum Machine Learning.

  Language:Jupyter Notebook282114

• pukkapies/igssm

  Repository for the Introduction to Machine Learning and Deep Learning course as part of the International Graduate Summer School in Mathematics

  Language:Jupyter Notebook11105

• antmarakis/aima-go

  Unofficial Go implementation of algorithms from Russell and Norvig's "Artificial Intelligence - A Modern Approach"

  Language:Go6200

• shivaangi/qgss21-lab

  Problem statements and their solutions from Qiskit Global Summer School 2021.

  Language:Jupyter Notebook310