1066 Open source projects that are alternatives of or similar to Adcme.jl

Owl - OCaml Scientific and Engineering Computing @ http://ocaml.xyz

Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

Sequential model-based optimization with a `scipy.optimize` interface

High-performance automatic differentiation of LLVM.

Deep learning library for solving differential equations and more

A .NET library that provides fast, accurate and automatic differentiation (computes derivative / gradient) of mathematical functions.

Julia port of the Python autograd package.

A numerical optimisation and deep learning framework for D.

DFO-GN: Derivative-Free Optimization using Gauss-Newton

Introductions to key concepts in quantum machine learning, as well as tutorials and implementations from cutting-edge QML research.

Tensors and differentiable operations (like TensorFlow) in Rust

Atomistic Spin Simulation Framework

A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends

CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.

PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network.

Linear algebra, eigenvalues, FFT, Bessel, elliptic, orthogonal polys, geometry, NURBS, numerical quadrature, 3D transfinite interpolation, random numbers, Mersenne twister, probability distributions, optimisation, differential equations.

Rust numeric library with R, MATLAB & Python syntax

These are my notes which I prepared during deep learning specialization taught by AI guru Andrew NG. I have used diagrams and code snippets from the code whenever needed but following The Honor Code.

Abstract operators for large scale optimization in Julia

Local, global, and beyond optimization for scientific machine learning (SciML)

Aircraft design optimization made fast through modern automatic differentiation. Plug-and-play analysis tools for aerodynamics, propulsion, structures, trajectory design, and much, much more.

Simulation framework for nonsmooth dynamical systems

Simulation and Parameter Estimation in Geophysics - A python package for simulation and gradient based parameter estimation in the context of geophysical applications.

Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia was built from scratch.

Arrays with arbitrarily nested named components.

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

Flexible classic and NeurAl Retrieval Toolkit

Learning how to use gurobi with python (in chinese)

Quantitative systematic trading strategy development and backtesting in Julia

Fast and Easy Infinite Neural Networks in Python

GDL - GNU Data Language

Open-source implementation of Google Vizier for hyper parameters tuning

A strongly-typed genetic programming framework for Python

Spokestack is a library that allows a user to easily incorporate a voice interface into any Python application.

Sarcasm detection on tweets using neural network

Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".

Visualize optimization algorithms in MATLAB.

Русскоязычный чатбот

Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info

An Echo State Network module for PyTorch.

PyTorch implementation of the Factorized TDNN (TDNN-F) from "Semi-Orthogonal Low-Rank Matrix Factorization for Deep Neural Networks" and Kaldi

A JuMP-based Nonlinear Integer Program Solver

plotting and creation of masks of spatial regions

A small study in hardware accelerated AoS reversal

The Quantum Machine Learning Toolbox (QMLT) is a Strawberry Fields application that simplifies the optimization of variational quantum circuits (also known as parametrized quantum circuits).

Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal

Link Discovery Framework for Metric Spaces.

Open-source software for volunteer computing and grid computing.

Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)

C conditionals directive for JavaScript

Proximal operators for nonsmooth optimization in Julia

TensorFlow CNN for fast style transfer ⚡🖥🎨🖼

SSD: Single Shot MultiBox Detector pytorch implementation focusing on simplicity

Heavily optimized zlib compression algorithm

Handle class imbalance intelligently by using variational auto-encoders to generate synthetic observations of your minority class.

Face Attribute Prediction on CelebA benchmark with PyTorch Implementation

🏖TagEditor - Annotation tool for spaCy

A list of papers and other resources on deep learning with anime style images.

RinSim is a logistics simulator written in Java. RinSim supports (de)centralized algorithms for dynamic pickup-and-delivery problems (PDP). The simulator is developed at the imec-DistriNet group at the dept. of Computer Science, KU Leuven, Belgium.