13 Repositories
Python replay Libraries
PyTorch implementation of "Continual Learning with Deep Generative Replay", NIPS 2017
pytorch-deep-generative-replay PyTorch implementation of Continual Learning with Deep Generative Replay, NIPS 2017 Results Continual Learning on Permu
A PyTorch implementation of the continual learning experiments with deep neural networks
Brain-Inspired Replay A PyTorch implementation of the continual learning experiments with deep neural networks described in the following paper: Brain
An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learning
Mammoth - An Extendible (General) Continual Learning Framework for Pytorch NEWS STAY TUNED: We are working on an update of this repository to include
AWBW Replay Parser - a Python package to open and step through AWBW game replays.
AWBW Replay Parser This repository is home to the AWBW Replay Parser, a Python package to open and step through AWBW game replays. This project is una
Replay Felica Exchange For Python
FelicaReplay Replay Felica Exchange Description Standalone Replay Module Usage Save FelicaRelay (=2.0) output to file, then python replay.py [FILE].
Ripurei is a free-to-use osu! replay downloader, that can be configured to download from any osu! server.
Ripurei Ripurei is a fully functional osu! replay downloader, fully capable of downloading from almost any osu! server. Functionality Timeline ✔️ Able
Official PyTorch implementation of RIO
Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection Figure 1: Our proposed Resampling at image-level and obect-
Pokemon sword replay capture
pokemon-sword-replay-capture This is an old version (March 2020) pokemon-sword-replay-capture-mar-2020-version of my Pokemon Replay Capture software.
Media Replay Engine (MRE) is a framework to build automated video clipping and replay (highlight) generation pipelines for live and video-on-demand content.
Media Replay Engine (MRE) is a framework for building automated video clipping and replay (highlight) generation pipelines using AWS services for live
Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
Automatic, Readable, Reusable, Extendable Machin is a reinforcement library designed for pytorch. Build status Platform Status Linux Windows Supported
Official Repository for our ICCV2021 paper: Continual Learning on Noisy Data Streams via Self-Purified Replay
Continual Learning on Noisy Data Streams via Self-Purified Replay This repository contains the official PyTorch implementation for our ICCV2021 paper.
This is the official code of our paper "Diversity-based Trajectory and Goal Selection with Hindsight Experience Relay" (PRICAI 2021)
Diversity-based Trajectory and Goal Selection with Hindsight Experience Replay This is the official implementation of our paper "Diversity-based Traje
Cornell record & replay mock server
Cornell: record & replay mock server Cornell makes it dead simple, via its record and replay features to perform end-to-end testing in a fast and isol