anon4206969 Goto Github PK

aialpha

Use unsupervised and supervised learning to predict stocks

awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

darkflow

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

data-science--cheat-sheet

Cheat Sheets

deep-residual-networks

Deep Residual Learning for Image Recognition

deeplearning.ai-summary

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

east-detector-for-text-detection-using-opencv

Text Detection from images using OpenCV

googlenet-inception

TensorFlow implementation of GoogLeNet and Inception for image classification.

gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

gpt-2-cloud-run

Text-generation API via GPT-2 for Cloud Run

gpt-2-simple

Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts

hacker-news-gpt-2

Dump of generated texts from GPT-2 trained on Hacker News titles

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

hello-world

Just another repository

material-sense

A React Material UI template to create rich applications with wizards, charts and ranges

models

Models and examples built with TensorFlow

modern-javascript

All lecture files from the Modern JavaScript (Novice to Ninja) course on Udemy.

nodejs-dialogflow

Node.js client for Dialogflow: Design and integrate a conversational user interface into your applications and devices.

react-saas-template

🌊 Template for building an SaaS or admin website using React + Material-UI

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

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.

tensorflow-examples

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

test-nextjs-blog