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A collection of programs found in `The Algorithm Design Manual (2nd Edition) by Steven Skiena`
The repository contains script and notebook related to Statistics, Machine learning, Neural network, Deep learning, NLP, Numerical methods, and Automation.
Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.
All Algorithms implemented in Fortran. Making Fortran Great Again!
Algorithms and Data Structures implemented in JavaScript for beginners, following best practices.
Algorithms and Data Structures implemented in Go for beginners, following best practices.
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
All Algorithms implemented in Python
scikit-learn: machine learning in Python
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to …
From the basics to slightly more interesting applications of Tensorflow
An Open Source Machine Learning Framework for Everyone
A basic implementation of convolutional neural nets
All stories and comments posted on Hacker News upto May 29, 2014
A beginner's guide to setting up a development environment on macOS
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Latex code for making neural networks diagrams
StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.
Taming Transformers for High-Resolution Image Synthesis
Fast and memory-efficient exact attention
min(DALL·E) is a fast, minimal port of DALL·E Mini to PyTorch
DALL·E Mini - Generate images from a text prompt
Development repository for the Triton language and compiler
Hackable and optimized Transformers building blocks, supporting a composable construction.
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.