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A deep-dive on the entire history of deep-learning
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
Portable and lightweight brain segmentation in the terminal!
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
a tiny multidimensional array implementation in C similar to numpy, but only one file.
You like pytorch? You like micrograd? You love tinygrad! ❤️
A small scalar autograd engine / Rust crate, inspired from Karpathy's micrograd, with more features, such as more activation functions, optimizers and loss criterions. Capable of MNIST classification.
A fun, hackable, GPU-accelerated, neural network library in Rust, written by an idiot
General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.
A neural network that transforms a design mock-up into a static website.
Neural network learns to play snake in a terminal, built in Rust with Ratatui
llama3 implementation one matrix multiplication at a time
Understand Human Behavior to Align True Needs
Tensor library with autograd using only Rust's standard library
small auto-grad engine inspired from Karpathy's micrograd and PyTorch
Deep learning in Rust, with shape checked tensors and neural networks