An experimentation and research platform to investigate the interaction of automated agents in an abstract simulated network environments.
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Synthetic data generators for tabular and time-series data
- gan-architectures
- gan
- deep-learning
- synthetic-data
Python implementation of CMA-ES
Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics
- jupyter-notebook
- pandas
- federal-reserve
- gdp
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
- medical-imaging
- medical-ai
- deep-learning
- machine-learning
WeVisOne-VL is a powerful VLM by the WeChat Vision Team at Tencent, unifying object-level and pixel-level perception from points and boxes to masks and alpha mattes.
Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
- seq2seq
- tensorflow
- tensorflow-tutorials
- python
Build animated charts in Jupyter Notebook and similar environments with a simple Python syntax.
- jupyter
- jupyter-notebook
- python
- plotting
TensorFlow Implementation of "Show, Attend and Tell"
- tensorflow
- image-captioning
- show-attend-and-tell
- attention-mechanism
Recurrent Neural Network Tutorial, Part 2 - Implementing a RNN in Python and Theano
This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).
- aifinance
- fintech
- llama
- machine-learning
A simple Python data-structure visualization tool for lists of lists, lists, dictionaries; primarily for use in Jupyter notebooks / presentations
TensorFlow implementation of an arbitrary order Factorization Machine
- factorization-machines
- tensorflow
- research-project
Segment Anything for Microscopy
- microscopy-images
- segment-anything
- segmentation
- cell-segmentation
Environment for reinforcement-learning algorithmic trading models
A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.
🍇 GRAPE is a Rust/Python Graph Representation Learning library for Predictions and Evaluations
- graph
- high-performance
- machine-learning
- knowledge-graph
A toolkit for #1millionwomentotech community.
Mostly experiments based on "Advances in financial machine learning" book
Cleora AI is a general-purpose open-source model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data. Created by Synerise.com team.
- ai
- graphs
- synerise
- embeddings
Official code repo for the O'Reilly Book - "An Illustrated Guide to AI Agents"
A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
- feature-selection
- data-science
- python
Presentations from H2O meetups & conferences by the H2O.ai team
- h2o
- presentations
- meetups
- h2oai
Implementation of various topic models