6697 Open source projects that are alternatives of or similar to Numpy_neural_network

코딩셰프의 3분 딥러닝, 케라스맛

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

food image to recipe with deep convolutional neural networks.

This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.

Data science teaching materials

Using Keras and cats to visualize layers from CNNs

Technical Analysis Library using Pandas and Numpy

Repository to store sample python programs for python learning

This is Andrew NG Coursera Handwritten Notes.

lidc nodule detection with CNN and LSTM network

CNN image style transfer 🎨.

Object classification with CIFAR-10 using transfer learning

Những kiến thức cần thiết để học tốt Machine Learning trong vòng 2 tháng. Essential Knowledge for learning Machine Learning in two months.

主要是爬虫与数据分析项目总结，外加建模与机器学习，模型的评估。

Achieve your marketing goals with the data analytics power of Python

A PyTorch implementation of "DGC-Net: Dense Geometric Correspondence Network"

numsca is numpy for scala

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

A neural network that transforms a design mock-up into a static website.

A Python Matplotlib, Numpy library to manage wind data, draw windrose (also known as a polar rose plot), draw probability density function and fit Weibull distribution

Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series

Statistical Rethinking (2nd ed.) with NumPyro

📓 deepleaning and cv notes.

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.

This repository is my attempt to help Data Science aspirants gain necessary Data Visualization skills required to progress in their career. It includes all the types of plot offered by Seaborn, applied on random datasets.

Data science and Big Data with Python

PyTorch implementation of SIFT descriptor

Stock Market Analysis and Prediction is the project on technical analysis, visualization and prediction using data provided by Google Finance.

CNN image classifier implemented in Keras Notebook 🖼️.

This repository consists of all my Machine Learning Projects.

공공데이터 분석

The deeplearning algorithms implemented by tensorflow

image processing codes to understand algorithm

How to build RNNs and LSTMs from scratch with NumPy.

📚 Various cheatsheets in PDF

Performance analysis of predictive (alpha) stock factors

Functionalities in Excel translated to Python

Combining Psi4 and Numpy for education and development.

A End to End CNN Model which predicts the steering wheel angle based on the video/image

Several simple music synthesizers in Python 3. Input from ABC or MIDI files is also supported.

Image Captioning using InceptionV3 and beam search

MTCNN with Motion Detection, on Raspberry Pi with Love

Çeşitli kütüphaneler kullanılarak Türkçe kod açıklamalarıyla TEMEL SEVİYEDE pratik derin öğrenme uygulamaları.

Keras implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. (https://arxiv.org/abs/1810.11654).

A Case Study Approach to Successful Data Science Projects Using Python, Pandas, and Scikit-Learn

Natural Language Processing with TensorFlow, published by Packt

PyTorch Implementation of Deformable Convolution

Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?

Deep learning codes and projects using Python

Heterogeneous Run Time version of Caffe. Added heterogeneous capabilities to the Caffe, uses heterogeneous computing infrastructure framework to speed up Deep Learning on Arm-based heterogeneous embedded platform. It also retains all the features of the original Caffe architecture which users deploy their applications seamlessly.

This repository helps you understand python from the scratch.

📚 嵌入式系统基础知识与主流编程语言相关内容总结

天池医疗AI大赛[第一季]：肺部结节智能诊断 UNet/VGG/Inception/ResNet/DenseNet

100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)

A Box detection algorithm for any image containing boxes.

Convolutional Neural Network for Multi-label Multi-instance Relation Extraction in Tensorflow

用python做计算机视觉，人工智能，机器学习，深度学习等

Grokking Deep Reinforcement Learning