🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.

OpenMMLab's next-generation platform for general 3D object detection.

A command line toolkit to generate maps, point clouds, 3D models and DEMs from drone, balloon or kite images. 📷

An implementation of "A Neural Algorithm of Artistic Style" by L. Gatys, A. Ecker, and M. Bethge. http://arxiv.org/abs/1508.06576.

Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL

A Python library for scraping the Google search engine.

Plug-and-play hydra sweepers for the EA-based multifidelity method DEHB and several population-based training variations, all proven to efficiently tune RL hyperparameters.

Predict human emotions in tweets by mapping emojis into the Valence-Arousal space (Russell, 2005). LSTM models the sequence learning of words within the tweets.

Using a backtracking algorithm to solve crossword puzzles.