Pytorch & Lightning based framework for research and ml-pipeline automation.
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Updated
Jun 2, 2024 - Python
Artificial neural networks (ANN) are computational systems that "learn" to perform tasks by considering examples, generally without being programmed with any task-specific rules.
Pytorch & Lightning based framework for research and ml-pipeline automation.
Topic Modelling for Humans
Visualizer for neural network, deep learning and machine learning models
This Deep Learning project is develop to detect emergency vehicles (ambulance, police cars, ...) using street audio. CNN and chroma features will help us achieve this goal.
Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
🦋 A personal research and development (R&D) lab that facilitates the sharing of knowledge.
An FPGA design for simulating biological neurons
An Open Source Machine Learning Framework for Everyone
Reachability analysis for closed-loop control systems in Julia
An autoregressive transformer language model from first principles, built without relying on ML libraries. Inspired by Vaswani et al.'s seminal 2017 work, "Attention Is All You Need".
A library capable of handling complexed valued neural network alternatives built with Rust.
A Python and Rust chess engine that starts from Zero.
Sandbox for graphics paper implementation
On-device AI across mobile, embedded and edge for PyTorch
Detecting Brand Logos ( Mercedes, Volkswagen etc) in Images using Convolutional Neural Networks
Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/