7251 Open source projects that are alternatives of or similar to Stock Price Predictor

Another attempt to use Deep-Learning in the financial markets

The Official Deep Learning Framework for Route-based Place Recognition

RNN(SimpleRNN, LSTM, GRU) Tensorflow2.0 & Keras Notebooks (Workshop materials)

A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray [RLlib] is used for training.

keras를 이용한 딥러닝 기초 학습

📚 Text classification library with Keras

I will update this repository to learn Machine learning with python with statistics content and materials

AIOpen是一个按人工智能三要素（数据、算法、算力）进行AI开源项目分类的汇集项目，项目致力于跟踪目前人工智能（AI）的深度学习（DL）开源项目，并尽可能地罗列目前的开源项目，同时加入了一些曾经研究过的代码。通过这些开源项目，使初次接触AI的人们对人工智能（深度学习）有更清晰和更全面的了解。

Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 130+ Indicators

LSTM-CRF for NER with ConLL-2002 dataset

Repo for Applied Text Mining in Python (coursera) by University of Michigan

Detecting Pneumonia in Chest X-ray Images using Convolutional Neural Network and Pretrained Models

Material for my PyData Jupyter & Pandas Workshops, I'm also available for personal in-house trainings on request

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

Tutorial on Using Pandas

Sign Language Recognition for Deaf People

NN based lossless compression

Disease Prediction based on Symptoms.

Small Docker image with Python Machine Learning tools (~180MB) https://hub.docker.com/r/frolvlad/alpine-python-machinelearning/

Allstate Kaggle Competition ML Capstone Project

A Tutorial for Serving Tensorflow Models using Kubernetes

My Attempt(s) In The World Of ML/DL....

Jupyter notebooks and datasets for the interesting pandas/python/data science video series.

using rnn (lstm or gru) and ctc to convert line image into text, based on torch7 and warp-ctc

Source material for Python Like You Mean it

This repository contains data and code used to get and clean data from https://github.com/CSSEGISandData/COVID-19 and https://www.worldometers.info/coronavirus/

A Python library for integrating model-based and judgmental forecasting

Data Reading Blocks for Python

Generating Captions for images using Deep Learning

Applying UNET Model on TGS Salt Identification Challenge hosted on Kaggle

适合初级到中级晋升者，有了体系之后就看熟练度了。

Implementation of the paper - Generative Recurrent Networks for De Novo Drug Design.

Tutorial for End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF

A Python package for gender classification.

《python数据分析与挖掘实战》项目实践及拓展

Implemented the YOLO algorithm for scene text detection in keras-tensorflow (No object detection API used) The code can be tweaked to train for a different object detection task using YOLO.

[NOT MAINTAINED] Predicting Bit coin price using Time series analysis and sentiment analysis of tweets on bitcoin

Multitask Deep Learning for Sentiment Analysis using Character-Level Language Model, Bi-LSTMs for POS Tag, Chunking and Unsupervised Dependency Parsing. Inspired by this great article https://arxiv.org/abs/1611.01587

Time Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms

Graph-Based Data Science: an abstraction layer in Python for building knowledge graphs, integrated with popular graph libraries – atop Pandas, RDFlib, pySHACL, RAPIDS, NetworkX, iGraph, PyVis, pslpython, pyarrow, etc.

Deep Learning with Tensor Flow for EEG MNE Epoch Objects

Time series prediction with Sequential Model and LSTM units

Simple Smart Pipe: python productivity-tool for rapid data manipulation

Get, Concatenate and Process you location history from Google Maps TimeLine

Generic U-Net Tensorflow 2 implementation for semantic segmentation

A Box detection algorithm for any image containing boxes.

UNet is a fully convolutional network(FCN) that does image segmentation. Its goal is to predict each pixel's class. It is built upon the FCN and modified in a way that it yields better segmentation in medical imaging.

All my experiments with AI and ML

Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal

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

The deeplearning algorithms implemented by tensorflow

Data science and Big Data with Python

Study E-Book(ComputerVision DeepLearning MachineLearning Math NLP Python ReinforcementLearning)

Materiály k předmětu NI-PYT na FIT ČVUT

Tensorflow Implementation of Recurrent Neural Network (Vanilla, LSTM, GRU) for Text Classification

General Assembly's 2015 Data Science course in Washington, DC

Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games

Jupyter notebook and datasets from the pandas Q&A video series

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