raminmh

gigastep

liquid-s4

Liquid Structural State-Space Models

ncps

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

nanoGPT

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

evojax

GoTube

Scalable stochastic verification of continuous-depth models

evosax

Evolution Strategies in JAX 🦎

RFAD

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

S5

torchdyn

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

stability-sdk

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

whisper

Robust Speech Recognition via Large-Scale Weak Supervision

stable-diffusion

A latent text-to-image diffusion model

python-binance

Binance Exchange API python implementation for automated trading

PyPortfolioOpt

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

tensorflow-image-models

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

liquid_time_constant_networks

Code Repository for Liquid Time-Constant Networks (LTCs)

machine-learning-for-trading

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

CfC

Closed-form Continuous-time Neural Networks

LTC.jl

pyhopper

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

racing_dreamer

Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing

NeuralNetworkArena

evidential-deep-learning

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

torch_eunn

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

robustness

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

f1tenth_maps

Collection of f1tenth tracks from various sources

the-pile

darts

Differentiable architecture search for convolutional and recurrent networks

icra_lds

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 Radu Grosu, published at ICRA 2020.