Lebeau's starred repositories

gptq

Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".

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PyHessian

PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks

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Awesome-Efficient-LLM

A curated list for Efficient Large Language Models

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APD

"Scalable and Order-robust Continual Learning with Additive Parameter Decomposition", ICLR 2020

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L-DNQ

Codes for AAAI2019 paper: Deep Neural Network Quantization via Layer-Wise Optimization using Limited Training Data

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Greedy-Layer-Wise-Pretraining

Training DNNs are normally memory and computationally expensive. Therefore, we explore greedy layer-wise pretraining.

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PFLlib

We expose this user-friendly algorithm library (with an integrated evaluation platform) for beginners who intend to start federated learning (FL) study

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denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

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flower

Flower: A Friendly Federated Learning Framework

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iptv

Collection of publicly available IPTV channels from all over the world

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Deep-Reinforcement-Learning-in-Large-Discrete-Action-Spaces

Implementation of the algorithm in Python 3, TensorFlow and OpenAI Gym

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FedRecPapers

A project for collecting and showing the current research progress of FedRec

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federated-learning

A PyTorch Implementation of Federated Learning http://doi.org/10.5281/zenodo.4321561

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soft-actor-critic

TF2 Implementation of the Soft Actor-Critic Algorithm

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mec_drl

Deep reinforcement learning for mobile edge computing

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DRL-Networking

Research on incentive mechanism design in mobile crowdsensing and mobile edge computing by deep reinforcement learning approaches.

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hosts

镜像:https://scaffrey.coding.net/p/hosts/git / https://git.qvq.network/googlehosts/hosts

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DROO

Deep Reinforcement Learning for Online Computation Offloading in Wireless Powered Mobile-Edge Computing Networks

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DDLO

Distributed Deep Learning-based Offloading for Mobile Edge Computing Networks

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Text-Classification

Naive Bayes classifier to classify text documents

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ConceptDriftData

Generate synthetic data sets containing concept drift, or load one of two real-world concept drift benchmark data sets.

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ConceptDriftInduction

Datasets for concept drift detection

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AuctionGame

Python bot version of the auction game (http://cims.nyu.edu/drecco/games/Auction/launch.php)

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matlab_dictionary_learning

matlab implementation of online dictionary learning with example driver code

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prices

住房月租金预测大数据赛

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alphacsc

Convolution dictionary learning for time-series

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