NovaLand (nova-land)

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NovaLand's repositories

gbnf-compiler

Plug n Play GBNF Compiler for llama.cpp

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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 us

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alpaca.cpp

Locally run an Instruction-Tuned Chat-Style LLM

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Auto-GPT

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

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BARThez

A french sequence to sequence pretrained model

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Deep_Learning_Machine_Learning_Stock

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

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gpt4all

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

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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.

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gbnfgen

TypeScript generator for llama.cpp Grammar directly from TypeScript interfaces

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GPTeacher

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

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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

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KalmanFilter-Python

Kalman Filter in PyTorch and Numpy

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machine-learning-for-trading

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

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MarketGAN

Implementing a Generative Adversarial Network on the Stock Market

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Metatrader5-Docker

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

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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.

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news-crawl

News crawling with StormCrawler - stores content as WARC

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news-please

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

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NewsFetch

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

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pfhedge

PyTorch-based framework for Deep Hedging

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stable-dreamfusion

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

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Stock

Stock Market Prediction Using Unsupervised Features

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sugartrail

Visualise networks of companies, officers and addresses connected through UK Companies House

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tabby

Self-hosted AI coding assistant

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tts-gan

TTS-GAN: A Transformer-based Time-Series Generative Adversarial Network

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vllm

A high-throughput and memory-efficient inference and serving engine for LLMs

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