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Pino's Projects

agentgpt icon agentgpt

🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.

aiif icon aiif

Jupyter Notebooks and code for the book Artificial Intelligence in Finance (O'Reilly) by Yves Hilpisch.

auto-gpt icon auto-gpt

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

backtest_strategie icon backtest_strategie

Repository degli script per il Backtest di Strategie descritti nel sito sito datatrading.info (https://www.datatrading.info)

backtesting.py icon backtesting.py

:mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.

backtrader icon backtrader

Python Backtesting library for trading strategies

camel icon camel

CAMEL: Communicative Agents for “Mind” Exploration of Large Scale Language Model Society

dalai icon dalai

The simplest way to run LLaMA on your local machine

deep-learning-for-hackers icon deep-learning-for-hackers

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

dolly icon dolly

Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform

einops icon einops

Deep learning operations reinvented (for pytorch, tensorflow, jax and others)

faig icon faig

Fully Automated IG Trading

ffn icon ffn

ffn - a financial function library for Python

fundus icon fundus

A very simple news crawler with a funny name

gpt4all icon gpt4all

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

gpt4free icon gpt4free

decentralising the Ai Industry, just some language model api's...

inpredo icon inpredo

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

langchain icon langchain

⚡ Building applications with LLMs through composability ⚡

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