Simple, unified interface to multiple Generative AI providers

A library of reinforcement learning (RL) algorithms.

This repo contains the official implementation of ICLR 2024 paper "Is ImageNet worth 1 video? Learning strong image encoders from 1 long unlabelled video""

Implementation of gradient descent from scratch with a linear regression toy example

Code for studying the super weight in LLM

The PennyLane-Qiskit plugin integrates the Qiskit quantum computing framework and IBM Q with PennyLane.

The "Python Machine Learning (1st edition)" book code repository and info resource

Teaching materials for the applied machine learning course at Cornell Tech (online edition)

A Quantum circuit simulator based on Restricted Boltzmann Machines.

Quantum computation is a growing field at the intersection of physics, computer science, electrical engineering, and applied math. This course provides an introduction to the basics of quantum compu…

Classical-to-Quantum Transfer Learning for Quantum Dots

The PennyLane-Qulacs plugin integrates the Qulacs quantum computing framework with PennyLane's quantum machine learning capabilities.

Variational Quantum Circuit Simulator for Quantum Computation Research

AI Engineering with AWS

Deep Replay - Generate visualizations as in my "Hyper-parameters in Action!" series!

Solve a binary classification problem with Qboost

Source content for the Qiskit Textbook

A Library for Differentiable Logic Gate Networks

Code for visualizing the loss landscape of neural nets

Chronos: Pretrained Models for Probabilistic Time Series Forecasting

Public repository for the paper "Large Language Models Reflect the Ideology of their Creators"

EEG Transformer 2.0. i. Convolutional Transformer for EEG Decoding. ii. Novel visualization - Class Activation Topography.

Development repository for the Triton language and compiler

This code implements the EEG Net deep learning model using PyTorch. The EEG Net model is based on the research paper titled "EEGNet: A Compact Convolutional Neural Network for EEG-based Brain-Compu…

Collaborative Filtering Quantum Infinite Restricted Boltzmann Machine

A Python package implementing a quantum Boltzmann machine.

This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow

Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.

Classical algorithms for solving binary quadratic models