nova-land Goto Github PK

adv-alstm

Code for paper "Enhancing Stock Movement Prediction with Adversarial Training" IJCAI 2019

alpaca.cpp

Locally run an Instruction-Tuned Chat-Style LLM

auto-gpt

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

bart-tl-topic-label-generation

Implementation and helper scripts for the BART-TL model - https://www.aclweb.org/anthology/2021.eacl-main.121/

barthez

A french sequence to sequence pretrained model

cocpc

credit-decision

Credit Decision Engine enables non-technical users to easily create and deploy decision algorithms through a drag-and-drop interface. It aims to make algorithmic decision-making accessible without coding skills.

deep_learning_machine_learning_stock

Deep Learning and Machine Learning stocks represent a promising long-term or short-term opportunity for investors and traders.

dukascopy-tools

📥 📈 ⚙️ Download historical price tick data for 800+ instruments (Stocks, Crypto, ETFs, CFDs, Forex) via Node.js and CLI

gbnf-compiler

Plug n Play GBNF Compiler for llama.cpp

gbnfgen

TypeScript generator for llama.cpp Grammar directly from TypeScript interfaces

gpt4all

gpt4all: an ecosystem of open-source chatbots trained on a massive collections of clean assistant data including code, stories and dialogue

gpteacher

A collection of modular datasets generated by GPT-4, General-Instruct - Roleplay-Instruct - Code-Instruct - and Toolformer

hk-horse-racing-data-scraper

Scraper for Hong Kong Jockey Club Website

horse-racing-prediction---optimized-gambling-strategy

A random forest model that generate profit of $40K in 3000 races based on 10000+ horse-racing records with 98 raw features

kalmanfilter-python

Kalman Filter in PyTorch and Numpy

machine-learning-for-trading

Code for Machine Learning for Algorithmic Trading, 2nd edition.

marketgan

Implementing a Generative Adversarial Network on the Stock Market

metatrader5-docker

Metatrader 5 Docker, wine64 and vnc with openbox gui and slim for Authentication pyzmq python3

mlfinlab

MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

mql5_mt5_ea

EA

news-crawl

News crawling with StormCrawler - stores content as WARC

news-please

news-please - an integrated web crawler and information extractor for news that just works

newsfetch

News API - fetch news from CommonCrawl, parse with NewsPlease, enrich with pre-trained machine-learning models, to structured searchable format

nlp_equitymarkets_10k

Applying NLP framework to 10-K filings in equity markets

patentgpt

pfhedge

PyTorch-based framework for Deep Hedging

stable-dreamfusion

A pytorch implementation of text-to-3D dreamfusion, powered by stable diffusion.

stock

Stock Market Prediction Using Unsupervised Features

stock-price-prediction-using-gan

In this project, we will compare two algorithms for stock prediction. First, we will utilize the Long Short Term Memory(LSTM) network to do the Stock Market Prediction. LSTM is a powerful method that is capable of learning order dependence in sequence prediction problems. Furthermore, we will utilize Generative Adversarial Network(GAN) to make the