A Python package for time series augmentation

Lightweight and extensible compatibility layer between dataframe libraries!

Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning

An efficient video loader for deep learning with smart shuffling that's super easy to digest

NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

Helpful tools and examples for working with flex-attention

A privacy-first, self-hosted, fully open source personal knowledge management software, written in typescript and golang.

🌸 A command-line fuzzy finder

The modern API client that lives in your terminal.

Like Boom, but based on Molotov

HTTP load generator, ApacheBench (ab) replacement

View model summaries in PyTorch!

Hiera: A fast, powerful, and simple hierarchical vision transformer.

Code release for ConvNeXt model

LLM101n: Let's build a Storyteller

Learning in infinite dimension with neural operators.

code accompanying paper "Geometry Encoding for Numerical Simulations"

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

SAM: Sharpness-Aware Minimization (PyTorch)

Classification models trained on ImageNet. Keras.

Set of models for classifcation of 3D volumes

Library for 3D augmentations

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

Set of models for segmentation of 3D volumes

A playbook for systematically maximizing the performance of deep learning models.

Image Test Time Augmentation with PyTorch!

Examples of published reinforcement learning algorithms in recent literature implemented in TensorFlow

Template for Kaggle projects