An Open Source Machine Learning Framework for Everyone

Open standard for machine learning interoperability

oneAPI Deep Neural Network Library (oneDNN)

A flexible, high-performance serving system for machine learning models

An Open Source Deep Learning Framework running on vanilla Python

📦 RL for mobile service robots navigation

AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

Scalable and user friendly neural 🧠 forecasting algorithms.

SmartDNN: A C++ Deep Learning library. Built from the ground up without any third party libraries.

This project aims to classify images of cats and dogs using deep learning techniques. It utilizes a convolutional neural network (CNN) to achieve high accuracy in distinguishing between the two classes. The dataset consists of thousands of labeled images, making it a robust example for image classification tasks.

This are the Machine Learning notes by leading AI website named Deeplearning.AI. This notes will help you to be a machine learner from beginner to advanced level. Welcome Everyone!!

A plug-and-play library for neural networks written in Gleam

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

This project aims to build two Machine Learning models for audio recognition, focusing on security and accessibility.

CartPole problem solved using two Reinforcement learning algorithms (DQN and SARSA) with two policies (epsilon-greedy and Boltzmann), with results.

Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node

Toy Implementation of PyTorch

A neural network training framework within a task-based parallel programming paradigm

Model Compression Toolkit (MCT) is an open source project for neural network model optimization under efficient, constrained hardware. This project provides researchers, developers, and engineers advanced quantization and compression tools for deploying state-of-the-art neural networks.

Pandas ,NumPy ,Matplotlib and Seaborn related Content are Attached here with real projects and practise.