539 Open source projects that are alternatives of or similar to SymJAX

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create or transform numpy images from the command line

Vinum is a SQL processor for Python, designed for data analysis workflows and in-memory analytics.

Functions and classes for gradient-based robot motion planning, written in Ivy.

Analysis with Covid-19 data

Computer Vision module for detecting emotion, age and gender of a person in any given image, video or real time webcam. A custom VGG16 model was developed and trained on open source facial datasets downloaded from Kaggle and IMDB. OpenCV,dlib & keras were used to aid facial detection and video processing. The final system can detect the emotion,…

I have been deeply interested in algorithmic trading and systematic trading algorithms. This Repository contains the code of what I have learnt on the way. It starts form some basic simple statistics and will lead up to complex machine learning algorithms.

Awesome Spectral Indices in Python.

No description or website provided.

机器学习教程，本教程包含基于numpy、sklearn与tensorflow机器学习，也会包含利用spark、flink加快模型训练等用法。本着能够较全的引导读者入门机器学习。

Fast zero-overhead bindings between NumPy and Eigen

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Streaming operations on NumPy arrays

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Extension to hypothesis for testing numpy general universal functions

We provide GPU-enabled docker images including Keras, TensorFlow, CNTK, MXNET and Theano.

ampscan is an open-source Python package for analysis and visualisation of digitised surface scan data, specifically for applications within Prosthetics and Orthotics (P&O), with an aim to improve evidence-based clinical practice towards improved patient outcomes.

This is a STORN (Stochastical Recurrent Neural Network) implementation for keras!

weighted quantiles with Python

Federated posterior averaging implemented in JAX

机器学习数据，预测趋势并画图

∿ Oscilloscope waveform capture viewer and converter.

经典机器学习算法的极简实现

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Python wrapper for Intel Math Kernel Library (MKL) matrix multiplication

Deep Learning framework with NVIDIA & AMD support

Image Classifier with Flask and Keras CNN

Concrete Numpy is a python package that contains the tools data scientists need to compile various numpy functions into their Fully Homomorphic Encryption (FHE) equivalents. Concrete Numpy goes on top of the Concrete Library and its Compiler.

Content from the University of British Columbia's Master of Data Science course DSCI 511.

Author's implementation of the paper "Deep Relative Attributes" (ACCV 2016)

A library to interface molecules and machine learning.

Implementation of a Spiking Neural Network in Tensorflow.

An implementation of the Fourier Transform using Python

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Course taught at the University of Bordeaux in the academic year 2017 for PhD students.

My solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition

Share numpy arrays across processes efficiently ideal for large, read-only datasets

A library for performing hyperparameter optimization

Data analysis and visualization with PyData ecosystem: Pandas, Matplotlib Numpy, and Seaborn

Video data processing pipeline using OpenCV

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Final Project of the Udacity AI Programming with Python Nanodegree

Information Retrieval algorithms developed in python. To follow the blog posts, click on the link:

No description or website provided.

Python Tutorials for Data Science

My workshop on machine learning using python language to implement different algorithms

Sorting objects of different colors using robotic arm and using computer vision (image processing).

These are the projects I did on my Udacity Deep Learning Nanodegree 🌟 💻 💻. 💥 🌈

This repository contains notes and projects of Data scientist track from dataquest course work.

深度学习相关代码

Sequence analyzing using Recurrent Neural Networks (RNN) based on Keras

Kai Sheng Teh - Udacity Data Analyst Nanodegree

Alvito - An Algorithm Visualization Tool for Python

Bayesian Optimization in JAX

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Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deployment as a RESTful service on Kubernetes.

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