5921 Open source projects that are alternatives of or similar to Latex_ocr

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

This repository contains all codes and materials of the current session. It contains the required code on Natural Language Processing, Artificial intelligence.

Python solutions to solve practical business problems.

Virgilio is developed and maintained by these awesome people. You can email us virgilio.datascience (at) gmail.com or join the Discord chat.

A fast, extensible, transparent python library for backtesting quantitative strategies.

Interactive Go programming with Jupyter

Coronavirus COVID-19 (2019-nCoV) Data Repository and Dashboard for South Africa

Visualizer for pandas data structures

code for reading and processing Allen Institute for Brain Science data

First project for CVND: facial keypoint detection.

Bio-Computing Platform featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集

FPGA-based neural network inference project with an end-to-end approach (from training to implementation to deployment)

OpenCV in Python for lane line and vehicle detection/tracking in autonomous cars

深度學習課程(第四梯)所設計的課程實作

A library for debugging/inspecting machine learning classifiers and explaining their predictions

『PythonではじめるKaggleスタートブック』のサンプルコード・脚注・正誤表

Build a CNN network to predict 3D bounding box of car from 2D image.

General Assembly's Data Science course in Washington, DC

《统计学习方法》（第一版）习题解答，在线阅读地址：https://datawhalechina.github.io/statistical-learning-method-solutions-manual

Step-by-step Deep Leaning Tutorials on Apache Spark using BigDL

🎄 Virtual DOM for Python

A Simple U-net model for Retinal Blood Vessel Segmentation based on tensorflow2

Oriented Response Networks, in CVPR 2017

Tutorial of geospatial data processing using python 用python分析时空数据的教程(in Chinese and English )

Getting start with PySpark and MLlib

Text recognition (optical character recognition) with deep learning methods.

Superpoint Implemented in PyTorch: https://arxiv.org/abs/1712.07629

Código Python, Jupyter Notebooks, archivos csv con ejemplos para los ejercicios del Blog aprendemachinelearning.com y del libro Aprende Machine Learning en Español

Scripts/Notebooks used for my articles published on Medium

Protein Graph Library

Data Engineering on Google Cloud Platform

Leverage the flexibility of Jupyterlab through the power of your NVIDIA GPU to run your code from Tensorflow and Pytorch in collaborative notebooks on the GPU.

An electronic simulation library written in pure Python

DS4C: Data Science for COVID-19 in South Korea

Code and Dataset for CVPR2020 "Dynamic Refinement Network for Oriented and Densely Packed Object Detection"

Experiments, algorithms and reports in machine learning reseach.

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

Code for Siraj Raval's Coding Challenges!

Code for the paper "PortraitNet: Real-time portrait segmentation network for mobile device" @ CAD&Graphics2019

Productivity Tools for Plotly + Pandas

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Principles of Machine Learning Python

复杂网络研究资源整理和基础知识学习

책) 파이썬으로 데이터 주무르기 - 소스코드 및 데이터 공개

COMS W4995 Applied Machine Learning - Spring 20

An introduction to data science in Python, for people with no programming experience.

努力成为一名合格有水平的AI算法工程师

RadIO is a library for data science research of computed tomography imaging

This is the code for "LSTM Networks - The Math of Intelligence (Week 8)" By Siraj Raval on Youtube

Deep learning framework for wearable activity recognition based on convolutional and LSTM recurretn layers

Intro to deep learning for medical imaging lesson, by MD.ai

Data Visualization with Python

Quick, visual, principled introduction to pytorch code through five colab notebooks.

This is the code for "Stock Market Prediction" by Siraj Raval on Youtube

This repo is deprecated, please use Deep Video Analytics which implements face recognition using TensorFlow and Facenet.

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

Simplified implementations of deep learning related works

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

Introduction to ML packages for the 6.86x course