Python Data Science Handbook: full text in Jupyter Notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

This repository contains implementations and illustrative code to accompany DeepMind publications

Best Practices, code samples, and documentation for Computer Vision.

Python on Zynq FPGA for Convolutional Neural Networks

personal chatgpt

my machine-learning tutorial

Open Source Specialized Computing Stack for Accelerating Deep Neural Networks.

Python Library for Robust Decision Making and Exploratory Modelling

implement the paper" Very Deep Convolutional Networks for Natural Language Processing"(https://arxiv.org/abs/1606.01781 ) in tensorflow

Pytorch implementation of Bit-Flip based adversarial weight Attack (BFA)

Multi-fidelity classification with Gaussian process

TensorFlow/Keras experiments on computer vision and natural language processing

Implementation of scalable Gaussian process classification (GPC) with additive noise for various likelihoods