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deep-learning-containers icon deep-learning-containers

AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.

deepspeed icon deepspeed

DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.

first-order-model icon first-order-model

This repository contains the source code for the paper First Order Motion Model for Image Animation

gde icon gde

Graph Neural Ordinary Differential Equations

hyperas icon hyperas

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

itransformer icon itransformer

Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah

kalman-and-bayesian-filters-in-python icon kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

mlfinlab icon mlfinlab

MlFinlab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

noidd icon noidd

An asyncio python daemon for integrity checking with sms + push notifications

pdwt icon pdwt

A GPU implementation of the Wavelet Transform

ppo icon ppo

A concise PyTorch implementation of Proximal Policy Optimization(PPO) solving CartPole-v0

pymannkendall icon pymannkendall

A python package for non parametric Mann Kendall family of trend tests.

rnnvis icon rnnvis

A visualization tool for understanding and debugging RNNs

selinux icon selinux

This is the upstream repository for the Security Enhanced Linux (SELinux) userland libraries and tools. The software provided by this project complements the SELinux features integrated into the Linux kernel and is used by Linux distributions. All bugs and patches should be submitted to [email protected]

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