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

An easy to use VR toolkit for Oculus Quest development using the Godot game engine

Repositório para armazenamento de código e notebooks de postagens do blog e cursos.

Official Repo for Stereo Transformer: Revisiting Stereo Depth Estimation From a Sequence-to-Sequence Perspective with Transformers.

scikit-learn wrappers for Python fastText.

[ECCV'2020] STTN: Learning Joint Spatial-Temporal Transformations for Video Inpainting

中文情感分析，CNN，BI-LSTM，文本分类

🏆 A ranked list of awesome Jupyter Notebook, Hub and Lab projects (extensions, kernels, tools). Updated weekly.

AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

State-of-the-Art Language Modeling and Text Classification in Hindi Language

点睛 - 头条号文章标题生成工具 （Dianjing, AI to write Title for Articles）

Stanford

Paper: CVPR2018, Learning Rich Features for Image Manipulation Detection

파이썬Python 강의에 사용되는 소스코드Source Code와 강의 자료들을 모은 repository 입니다.

Building QA system for Stanford Question Answering Dataset

Machine Learning Ops Workshop with SageMaker: lab guides and materials.

Python技术 公众号文章代码实例

Epidemic Modeling for Everyone

Some practices about deep learning

Programming Music with Python, Sonic Pi and Supercollider

Traffic Graph Convolutional Recurrent Neural Network

A Julia package for Gaussian Processes

A framework for blind denoising with self-supervision.

PyTorch0.4 implementation of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay

CARTO Python package for data scientists

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

A crash course in six episodes for software developers who want to become machine learning practitioners.

CNN image style transfer 🎨.

Deep Learning for Land-cover Classification in Hyperspectral Images.

A python package that includes many methods for decoding neural activity

Deep Learning Zero to All - Tensorflow

Weakly Supervised Segmentation with Tensorflow. Implements instance segmentation as described in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).

🔮Getting started with TensorFlow: Classifying Text with Neural Networks

Python solutions to solve practical business problems.

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

《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

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

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

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

PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning

Machine Learning and Deep Learning Resources

Exploration of methods for coloring t-SNE.

A collection of notebook to learn the Applied Predictive Modeling using Python.

SuperComputing 2017 Deep Learning Tutorial

Text Classification through CNN, RNN & HAN using Keras

Jupyter notebooks associated with the Algorithms for Optimization textbook

Tutorial on "Modern Optimization Methods in Python"

Ray tutorials from Anyscale

Malware Detection and Classification Using Machine Learning

Jupyter notebooks and other materials developed for the Columbia course APMA 4300

Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.

Exercises for the Analysis of Knowledge Graphs

Productionise your Jupyter Notebooks as easily as you wrote them.

전 세계의 멋진 케라스 문서 및 튜토리얼을 한글화하여 케라스x코리아를 널리널리 이롭게합니다.

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.