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500-ai-machine-learning-deep-learning-computer-vision-nlp-projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

all-python-codes-of-ztm-course-by-andrei-neagoie

amazon-pagination

chatbot

This is a an applied artificial intelligence (AI) program that helps your chatbot analyse and understand the natural human language communicated with one another. Chatbots is able to understand the intent of the conversation rather than just use the information to communicate and respond to queries.

cnn-ta

Algorithmic Financial Trading with Deep Convolutional Neural Networks: Time Series to Image Conversion Approach: A novel algorithmic trading model CNN-TA using a 2-D convolutional neural network based on image processing properties.

complete-analysis-of-online-shopping-behavior

Analysis and prediction of the purchasing intention of the online store visitors using aggregated page view data along with session and user information.

computer_vision

cv

data-science-for-beginners

10 Weeks, 20 Lessons, Data Science for All!

deep_learning

deepfacelab

DeepFaceLab is the leading software for creating deepfakes.

deploy-keras-deep-learning-model-with-flask

Build Deep Neural Network model in Keras and deploy a REST API to production with Flask on Google App Engine

financial-machine-learning

A curated list of practical financial machine learning tools and applications.

flask-bootstrap

Ready-to-use Twitter-bootstrap for use in Flask.

gfpgan

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

igbot

🐙 Free scripts, bots and Python API wrapper. Get free followers with our auto like, auto follow and other scripts!

imageai

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

instabot-selenium

This is ab instabot just to like a particular hasthtag you have provided, so it will continuously like the post from a particular hastag

instagrambot

lstm-crypto-price-prediction

Predicting price trends in cryptomarkets using an lstm-RNN for the use of a trading bot

mnist-cnn-99.75

multi-camera-live-object-tracking

Multi-camera live traffic and object counting with YOLO v4, Deep SORT, and Flask.

neuroevolution-btc-trader

Building a population of models that trade crypto and mutate iteratively

public-apis

A collective list of free APIs

python

All Algorithms implemented in Python

scrapyapi

stock-and-crypto-news-scrapingsummarizationsentiment

A full Python pipeline that allows for the scraping, summarization and sentiment calculation for stock and crypto news.

stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

tforce_btc_trader

TensorForce Bitcoin Trading Bot

transfer-learning