Liquid Structural State-Space Models

PyTorch and TensorFlow implementation of NCP, LTC, and CfC wired neural models

The simplest, fastest repository for training/finetuning medium-sized GPTs.

Scalable stochastic verification of continuous-depth models

Evolution Strategies in JAX 🦎

Code for the paper "Efficient Dataset Distillation using Random Feature Approximation"

A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods

SDK for interacting with stability.ai APIs (e.g. stable diffusion inference)

Robust Speech Recognition via Large-Scale Weak Supervision

A latent text-to-image diffusion model

Binance Exchange API python implementation for automated trading

Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

TensorFlow port of PyTorch Image Models (timm) - image models with pretrained weights.

Code Repository for Liquid Time-Constant Networks (LTCs)

Code for Machine Learning for Algorithmic Trading, 2nd edition.

Closed-form Continuous-time Neural Networks

PyHopper is a hyperparameter optimizer, made specifically for high-dimensional problems arising in machine learning research.

Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing

Learn fast, scalable, and calibrated measures of uncertainty using neural networks!

A Pytorch implementation of an efficient unitary neural network (https://arxiv.org/abs/1612.05231)

A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.

Collection of f1tenth tracks from various sources

Differentiable architecture search for convolutional and recurrent networks

Official code repository of the paper Gershgorin Loss Stabilizes the Recurrent Neural Network Compartment of an End-To-End Robot Learning Scheme by Mathias Lechner, Ramin Hasani, Daniela Rus, and R…