LSTM neural networks for nowcasting economic data.

💫 Industrial-strength Natural Language Processing (NLP) in Python

A Machine Learning package for materials informatics.

Tiny, no-nonsense, self-contained, Tensorflow and ONNX inference

A Software Framework for Neuromorphic Computing

AI projects in python, mostly Jupyter notebooks.

Arkanoid with Deep Q-Learning using TensorFlow.js.

A toolkit with data-driven pipelines for physics-informed machine learning.

Soccer playing robot representing Canada from University of Toronto

Supervisely SDK for Python - convenient way to automate, customize and extend Supervisely Platform for your computer vision task

🌸 Run 100B+ language models at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading

A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.

A python chess engine.

Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.

Code related to Machine Learning and Neural Networks goes here

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

Probabilistic time series modeling in Python

DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks

Graph convolution with tf.keras

alpha-beta-CROWN: An Efficient, Scalable and GPU Accelerated Neural Network Verifier (winner of VNN-COMP 2021 and 2022)

Deep Learning for humans

⛽Linear Regression with Neural Network APP for Vehicle CO2 Emission Prediction using pytorch, flask and react

Relax! Flux is the ML library that doesn't make you tensor

Learning, experimenting, and creating Neural Networks :)

Course repository of ECE490: Neural Networks taught at University of Maine

A user toolkit for analyzing and interfacing with Large Language Models (LLMs)

Aplicando um estudo ablativo em redes neurais auto-supervisionadas que envolvem a navegabilidade de robôs terrestres em ambientes acidentados.

Using the concepts of Hybrid Neural Networks, an model was trained to recognise the Hindi character data-set.

Main repository for a Kaggle machine learning competition, concerning the creation of a classification model for various butterfly spiecies. These include Black Swallowtail (Papilio polyxenes), Monarc (Danaus plexippus) and Viceroy (Limenitis archippus).

Vector AI — A platform for building vector based applications. Encode, query and analyse data using vectors.