mitbans's Stars
the-deep-learners/deep-learning-illustrated
Deep Learning Illustrated (2020)
jonkrohn/DLTFpT
Deep Learning with TensorFlow, Keras, and PyTorch
chandanverma07/Ebooks
These are Some useful ebook
Xilinx/ml-suite
Getting Started with Xilinx ML Suite
Xilinx/CHaiDNN
HLS based Deep Neural Network Accelerator Library for Xilinx Ultrascale+ MPSoCs
Xilinx/Vitis-AI
Vitis AI is Xilinx’s development stack for AI inference on Xilinx hardware platforms, including both edge devices and Alveo cards.
GoogleCloudPlatform/generative-ai
Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI
Mphasis-ML-Marketplace/Optimal-Media-Mix-Budget-Allocation
Mphasis-ML-Marketplace/Return-on-Advertising-Spend-calculator
microsoft/generative-ai-for-beginners
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
jeffreylancaster/game-of-thrones
Game of Thrones Datasets and Visualizations
apache/kafka
Mirror of Apache Kafka
jmiano/jmiano.github.io
microsoft/ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Apress/Applied-Generative-AI-for-Beginners
source code
apacharya/Regressor_PA2
Regressor to predict car sale prices
LinkedInLearning/generative-ai-foundations-generative-adversarial-networks-gans-4380315
This is a code repository for the LinkedIn Learning course Introduction to Generative Adversarial Networks (GANs).