chocdoughnut Goto Github PK

aialpha

Use unsupervised and supervised learning to predict stocks

anomaliesinoptions

In this notebook we will explore a machine learning approach to find anomalies in stock options pricing.

auto-gpt

An experimental open-source attempt to make GPT-4 fully autonomous.

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

binance-api-step-by-step-guide

These are the code snippets used in the Binance Python API - A step-by-step guide on the AlgoTrading101 website

capmarket

cluster-analysis-machine-learning-for-pairs-trading

Find trading pairs with Machine Learning

cnn

Using fastai and CNNs to predict stock prices

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

datasciencecoursera

Repository created for Coursera Data Science peer graded assignment

datasciencespecialization.github.io

http://DataScienceSpecialization.github.io

datasharing

The Leek group guide to data sharing

exdata_plotting1

Plotting Assignment 1 for Exploratory Data Analysis

financialvision

FinancialVision

freqtrade-strategies

Free trading strategies for Freqtrade bot

ganhacks

starter from "How to Train a GAN?" at NIPS2016

getting_and_cleaning_data_course_project

google-research

Google Research

httr

httr: a friendly http package for R

image_input_tf2.3

inpredo

Inpredo is a Deep Learning tool which looks into financial charts and predicts stock movements.

keras-coordconv

Keras implementation of CoordConv for all Convolution layers

keras-noisy-student

EfficientNet-L2 weights in Keras and retrieval script modified from qubvel/efficientnet

keras_efficientnet_v2

self defined efficientnetV2 according to official version. Including converted ImageNet/21K/21k-ft1k weights.

keras_ensemblng

Ensembling ConvNets using Keras

kraken-api---a-complete-guide-algotrading101

Kraken API Guide for the Algotrading101 blog

ml-foundations

Machine Learning Foundations: Algebra, Calculus, Statistics & Computer Science

model-optimization

A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.

mpl-pytorch

Unofficial PyTorch implementation of "Meta Pseudo Labels"

netron

Visualizer for neural network, deep learning, and machine learning models