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tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-keras-tutorials

Tensorflow and Keras tutorials for Convolution Neural Networks (CNNs), Generative Adversarial Networks (GANs), and Recurrent Neural Networks (RNNs) using a variety of datasets, including CIFAR-10, MNIST, and ImageNet.

tic-tac-toe-minimax

A collection of minimax algorithms for tic-tac-toe, implementation in Python. Includes simple minimax, alpha-beta pruning, and fixed-depth search with heuristic evaluation.

titan

A high-performance CUDA-based physics simulation sandbox for soft robotics and reinforcement learning.

tokenizer

BPE tokenization implemented in Golang 💙

uml-notes

vcpkg

C++ Library Manager for Windows, Linux, and MacOS

wgan-pytorch

PyTorch implementation of the Wasserstein GAN for image generation