LSTM and QRNN Language Model Toolkit for PyTorch
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Feb 12, 2022 - Python
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sgd
Here are 83 public repositories matching this topic...
Ternary Gradients to Reduce Communication in Distributed Deep Learning (TensorFlow)
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Nov 19, 2018 - Python
NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch. Find explanation at tourdeml.github.io/blog/
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Jan 19, 2024 - Python
Keras/TF implementation of AdamW, SGDW, NadamW, Warm Restarts, and Learning Rate multipliers
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Jan 6, 2022 - Python
Lua implementation of Entropy-SGD
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Apr 9, 2018 - Python
Code for paper "On Sampling Strategies for Neural Network-based Collaborative Filtering"
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Oct 1, 2017 - Python
PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visual classification. Client distributions are synthesized with arbitrary non-identicalness and imbalance (Dirichlet priors). Client systems can be arbitrarily heterogeneous. Several mobile-friendly models are prov…
pytorch sgd classification heterogeneity federated-learning imbalance non-iid fedavg fedprox fedsgd fedavgm fedir fedvc
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Feb 27, 2022 - Python
Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers https://arxiv.org/abs/1802.00124
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Nov 14, 2018 - Python
Implementation of key concepts of neuralnetwork via numpy
neural-network numpy cnn dropout mnist sgd regularization deeplearning xavier-initializer relu cross-entropy-loss numpy-neuralnet-exercise
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Feb 6, 2018 - Python
Automatic and Simultaneous Adjustment of Learning Rate and Momentum for Stochastic Gradient Descent
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Aug 4, 2020 - Python
vector quantization for stochastic gradient descent.
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May 12, 2020 - Python
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Mar 17, 2018 - Python
Distributed Learning by Pair-Wise Averaging
python distributed-systems deep-learning pytorch sgd neural-networks gossiping asynchronous-learning
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Oct 31, 2017 - Python
Amortized version of the differentially private SGD algorithm published in "Deep Learning with Differential Privacy" by Abadi et al. Enforces privacy by clipping and sanitising the gradients with Gaussian noise during training.
python privacy research deep-learning tensorflow mnist sgd gradient-descent differential-privacy tensorflow2
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Apr 12, 2024 - Python
Estimate S-ARIMA-X models with Stochastic Gradient Descent or Kalman Filter
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Aug 8, 2023 - Python
Implementation of Local Updates Periodic Averaging (LUPA) SGD
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Dec 25, 2019 - Python
Implementation of Redundancy Infused SGD for faster distributed SGD.
python machine-learning deep-learning tensorflow optimization sgd redundancy distributed-optimization
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Dec 25, 2019 - Python
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