Tag
#deep-learning
121 repositories
Repos
[🔥updating ...] AI 自动量化交易机器人(完全本地部署) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant
AI quantitative trading platform for crypto, stocks, and forex with backtesting, live trading, market data, and multi-agent research.vibe-trading ,trading-agents,ai-trader,ai-trading
🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market.
List of awesome resources for machine learning-based algorithmic trading
A Framework for Encrypted Machine Learning in TensorFlow
Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting
Exploiting Bitcoin prices patterns with Deep Learning.
Using data analytics alongside popular trading strategies and indicators, to identify best trading actions based solely on the price action.
Forex trading simulator environment for OpenAI Gym, observations contain the order status, performance and timeseries loaded from a CSV file containing rates and indicators. Work In Progress
PyVerse is an open-source collection of diverse Python projects, tools, and scripts, ranging from beginner to advanced, across various domains like machine learning, web development, and automation.
A collection of tools for reverse engineering neural networks.
Time Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms
First Version.. Cryptocurrency Prediction with Artificial Intelligence (Deep Learning via LSTM Neural Networks)- Emirhan BULUT
AI-CryptoTrader is a state-of-the-art cryptocurrency trading bot that uses ensemble methods to make trading decisions based on multiple sophisticated algorithms. Built with the latest machine learning and data science techniques, AI-CryptoTrader provides a powerful toolset and advanced trading stratgies for maximizing your cryptocurrency profits.
Smart Contract Vulnerability Detection From Pure Neural Network to Interpretable Graph Feature and Expert Pattern Fusion (IJCAI-21 Accepted)
Multi-modal AI-generated content detection: image, video, and audio. Benchmarks, training code (DINOv2, DINOv3, ReStraV, BreathNet), and evaluation pipeline for real vs. synthetic classification with calibration-aware metrics.
Sequence-based Target Coin Prediction for Cryptocurrency Pump-and-Dump (SIGMOD 23)
Price Prediction Case Study predicting the Bitcoin price and the Google stock price using Deep Learning, RNN with LSTM layers with TensorFlow and Keras in Python. (Includes: Data, Case Study Paper, Code)
Python code + notebooks to fully reproduce the results for the blog post "These Bored Apes Do Not Exist" on Medium. Blog post URL: https://medium.com/@nathancooperjones/these-bored-apes-do-not-exist-6bed2c73f02c
ReChecker: Towards Automated Reentrancy Detection for Smart Contracts Based on Sequential Models
A zkML framework for ensuring the integrity of computational graphs using Circle STARK proofs
Machine-learning based high frequency trading algorithm for altcoin cryptocurrencies [moved to closed source]
Cryptocurrency Prediction with Artificial Intelligence V3.0 [GRU Neural Network]
things I help(ed) to build
A social media platform with a friend recommendation engine based on personality trait extraction
This repository contains the code and datasets for creating the machine learning models in the research paper titled "Time-series forecasting of Bitcoin prices using high-dimensional features: a machine learning approach"
A lightweight but powerful library to build token indices for NLP tasks, compatible with major Deep Learning frameworks like PyTorch and Tensorflow.
Quant trading framework by OctoBot. Write, backtest & automate Python trading strategies like TradingView Pine Script. Work in progress.
Recurrent Neural Network (RNN), LSTM (Long Short-Time Memory), Bitcoin, Google Trends, Prediction, Deep Learning
Bitcoin price prediction using both traditonal machine learning and deep learning techniques, based on historical price and sentiment extracted from Twitter posts. Fear of missing out analysis after Elon Musk tweeted about Dogecoin.
Colearn is a collection of protocols for running multi-stakeholder machine learning that preserve data privacy
MANDO is a new heterogeneous graph representation to learn the heterogeneous contract graphs' structures to accurately detect vulnerabilities in smart contract source code at both coarse-grained contract-level and fine-grained line-level.
Resources
A trading bitcoin agent was created with deep reinforcement learning implementations.
A machine learning project for learning geospatial topology for the paper on https://arxiv.org/abs/1806.03857
:raising_hand: A Selenium based automated program that scrapes profiles data,stores in CSV,follows them and saves their profile in PDF.
MANDO-GURU, a deep graph learning-based tool, aims to accurately detect vulnerabilities in smart contract source code at both coarse-grained contract-level and fine-grained line-level.
A curated list of awesome things about Bittensor.
This repository includes links to forked repositories which hold a list of projects that could be helpful for project-based learning.
Forecasting Bitcoin Prices via ARIMA, XGBoost, Prophet, and LSTM models in Python
👾 resources for DeSci + AI experiments: notes, ml, agents, llms, energy based models...
Relation-Aware Transformer for Portfolio Policy Learning using Binance provider
Unofficial implementation of the paper: "Step on the Gas? A Better Approach for Recommending the Ethereum Gas Price"
AI crypto trading bot with deep neural network (84.9% accuracy, 25 coins). BiLSTM + Attention trained on GPU. Bybit, Binance, OKX, Gate.io. Free cloud or self-hosted.
Training and evaluation of Deep Reinforcement Learning cruptocurrency trading agent.
Cryptocurrency forecasting 📈 training and serving models made automatic
AR-DAO，A decentralized autonomous organization (DAO) that enables users to forge NFTs through augmented reality (AR) and participate in various gaming and social activities. 一个让用户通过增强现实（AR）铸造NFT并参与不同游戏等社交活动的去中心化自治组织（DAO）https://github.com/Charmve/AR-DAO/wiki
MANDO-HGT is a framework for detecting smart contract vulnerabilities. Given either in source code or bytecode forms, MANDO-HGT adapts heterogeneous graph transformers with customized meta relations for graph nodes and edges to learn their embeddings and train classifiers for detecting various vulnerability types in the contracts' nodes and graphs.
WATERMELON: Multi-Agent Reinforcement Learning Based Algorithmic Stock Trading System with GUI Application
👾 my old deep learning notebooks (e.g., tensorflow examples, caffee, deep art, numpy)
Chinese Word Segmentation task based on BERT and implemented in Pytorch
👾 quantum tensorflow machine learning deployment on k8s
EVMOS blockchain Dapp that utilizes on-chain data to model potential price fluctuations in real-time from covalent api.
Research project exploring the classification of genuine NFT projects from scams with sentiment and price analysis using machine learning classifiers and deep learning.
PoUW enables PAI Coin to serve a dual purpose: (1) As a typical cryptocurrency, like Bitcoin, Ethereum, and many others, and (2) as a computational platform… one specifically geared toward intensive processing such as for Machine Learning, Data Mining, or Artificial Intelligence.
Encoder-decoder neural network model trained to predict future diff log of moving average ETH-USD price. No longer viable.
ROCm-compatible fork of Bittensor – Full PyTorch 2.4 ROCm support – Wallet, Metagraph, Dendrite fully working.
This project aims to predict the future price of Ethereum using various machine learning models, including deep learning. The project is implemented using Python and Jupyter notebooks.
Bitcoin price prediction using sentiment analysis
An algorithmic cryptocurrency trading bot supported by Python TensorFlow Library
Example to examine the process of compromising the extraction of the secret key Nonce value K from a vulnerable RawTX transaction using the BitcoinChatGPT machine learning process.
This is a repository of the educational project within "Deep Dive into Blockchain (DDiB)" Summer School at the University of Zurich, Switzerland
Fine Tuning for Image Recognition with a model trained with Reptile
Bitcoin Ponzi scheme detection with Deep learning
Fraud detection on Bitcoin transaction graphs using GNNs (GCN, GAT) with PyTorch Geometric. Temporal split evaluation on the Elliptic dataset.
All practicals I performed in Computer Engineering at SPPU
ACM ASIA Conference on Computer and Communications Security (AsiaCCS) 2025
Cardano ADA Regression Analysis using user interface through Flask. Machine Learning model.
Pragati Aid - Empowering Communities through Intelligent Rainfall Forecasting for Natural Disaster Resilience.
In this open source project you will build a model which classify images captured by a remotely operated vehicle (ROV), featuring deep-sea biota belonging to 62 different classes.
A Python notebook studying the efficiency of Deep Learning techniques for the task of Bitcoin price movement prediction.
Bitcoin price analysis and forecast with deep learning
NEXUS: 7-layer ML crypto signal engine using PyTorch, regime detection, and Binance API
AI-powered sports media authenticity platform — detects AI-generated fakes using sports-specific ViT forensics and anchors real content with blockchain Reality Certificates on Polygon zkEVM.
AI-powered Pump & Dump Detection System for Solana Blockchain using Machine Learning & Technical Analysis. Built for research and educational purposes.