TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning 🔥 ⚡ 🌈

LLMs in Finance - Generative AI - AI Agents

An AI Hedge Fund Team

Convert any text to a graph of knowledge. This can be used for Graph Augmented Generation or Knowledge Graph based QnA

An open-source implementaion for fine-tuning Phi3-Vision and Phi3.5-Vision by Microsoft.

Your CrewAI Powered Video Editing Assistant

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

This source code (in Python) is a preliminary implementation of my quadratic-time positive integer matrix multiplication.

TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/

Semi-supervised Learning GAN

This is an implementation of IBM's Quantum Experience in simulation; a 5-qubit quantum computer with a limited set of gates. Please cite me if you end up using this academically.

[DEPRECATED] Tensorflow wrapper for DataFrames on Apache Spark

Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.

This repository contains the source code used to produce the results presented in the paper "Continuous-variable quantum neural networks". Due to subsequent interface upgrades, these scripts will …

PyTorch 1.2 implementation of IM-NET.

The improved code for paper "Learning Implicit Fields for Generative Shape Modeling".

This repository contains the source codes for the paper "AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation ". The network is able to synthesize a mesh (point cloud + connectivity)…

This repository contains the code for the paper "Occupancy Networks - Learning 3D Reconstruction in Function Space"

A framework based on Tensorflow for running variational Monte-Carlo simulations of quantum many-body systems.

Open-source Artificial Intelligence & Quantum Technologies research and development. Quantum/AI algorithms built with Tensorflow Quantum technologies, aimed at fighting and understanding COVID-19.

Designed two-layer neural network using TensorFlow to find solutions to Schrödinger's equation. Used mean square distance to assess performance of the model.

TensorFlow Quantum

A Quantum Neural Network built with Tensorflow Quantum and training on Breast Histopathology Images on Kaggle by Paul Mooney (Invasive Ductal Carcinoma)

The fastai book, published as Jupyter Notebooks

An open-source Python framework for hybrid quantum-classical machine learning.

Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization

This repo contains my journey taking the "Deep Learning Nanodegree" with Udacity!!

Generative Adversarial Networks (GANs) resources sorted by citations