Reweight GPT - a simple neural network using transformer architecture for next character prediction
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Updated
Aug 28, 2023 - Jupyter Notebook
Reweight GPT - a simple neural network using transformer architecture for next character prediction
This is a cross-chip platform collection of operators and a unified neural network library.
wind turbine fault detection based on machine learning techniques and knowledge transfer
Recommender System (Hybrid and Deep Neural Networks)
Build A Neural Network from Scratch
Computer vision
Collection of AI projects that I've worked on. This is mainly used for learning projects.
Interactive Voice Recognition Windows Application (Pending Newer Revisions)
A little toolbox for training a deep learning model or machine learning model
A snake game to be played manually or to be tested against a neural network algorithm. The neural network is configurable on the ui. Extended statistics about game data can be provided via webserver interface. Additionally, a demo mode with a trained neural network is implemented.
This repository will talk about the most powerful ML/DL model in AI industry
Laboratory assignments given during the Computational NeuroScience(CNS) course. University of Pisa. A.Y. 2023/2024
Exploring machine learning through captivating projects. 🚀🤖
A neural network project that recognizes handwritten digits using TensorFlow and the MNIST dataset. Created for IT3140 Soft Computing course at Manipal University Jaipur.
Implemented diverse neural network concepts including image classification, kNN, SVM, and advanced techniques like convolutional nets and style transfer for image processing and analysis. Experimented with architectures, regularization methods, and applications such as image captioning and generation.
动手学强化学习_进阶篇_代码复现_Deep_Q-Learning
AI Examples Repository showcasing machine learning and deep learning examples using Scikit-Learn and TensorFlow.
Exploratory Data Analysis, Data Visualization, Machine Learning
Neural Network From Scratch in Python | Build a simple neural network from scratch using pure Python and NumPy. Learn about forward propagation, backpropagation, and training with gradient descent. Accompanies my Medium article.
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