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Image classification pipeline for natural sciences
PyTorch implementations of KMeans, Soft-KMeans and Constrained-KMeans which can be run on GPU and work on (mini-)batches of data.
A Differentiable Reacting Flow Simulation Package in PyTorch
This is a project, where I give you a way to use Autodesk Fusion 360 on Linux!
A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)
Energy consumption estimation utilities for Jetson-based platforms
daz: Denormals are zeros. The tool to change the CPU flag about denormals number.
A modular, open and non-proprietary toolkit for core robotic functionalities by harnessing deep learning
Proof of concept code from Gretel.ai and Illumina using generative neural networks to create synthetic versions of mouse genotype and phenotype data.
Machine Learning in Financial News Analysis
An open-source MicroPython based SDK for WiFi-enabled microcontrollers
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
Building classifiers using cancer transcriptomes across 33 different cancer-types
Build fully-functioning computer vision models with PyTorch
Combining the powers of endlessh and fail2ban.
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
A systematic NLP framework that uses diachronic word embeddings to trace semantic shifts or variations in the context of words over time in the Greek language.
Visualizer for neural network, deep learning and machine learning models
OpenAI Gym-compatible environments of AirSim for multirotor control in RL problems
A wrapper framework for Reinforcement Learning in the Webots robot simulator using Python 3.
Tutorials for the deepbots framework https://github.com/aidudezzz/deepbots
Examples and use cases using the deepbots framework (https://github.com/aidudezzz/deepbots) with the Webots robot simulator.
Generating Sentiment-aware Visual Stories using Cross-modal Music Translation
Explainable Machine Learning (Thessaloniki Machine Learning Meetup)