GitHub topics: minibatch
salesforce/matchbox 📦
Write PyTorch code at the level of individual examples, then run it efficiently on minibatches.
Language: Python - Size: 132 KB - Last synced at: about 2 months ago - Pushed at: over 3 years ago - Stars: 484 - Forks: 23
BGU-CS-VIL/pdc-dp-means
"Revisiting DP-Means: Fast Scalable Algorithms via Parallelism and Delayed Cluster Creation" [Dinari and Freifeld, UAI 2022]
Language: Python - Size: 554 KB - Last synced at: 11 days ago - Pushed at: 11 months ago - Stars: 18 - Forks: 4
vtramo/neural-networks-experiments-from-scratch
The objective of this repository is to provide a learning and experimentation environment to better understand the details and fundamental concepts of neural networks by building neural networks from scratch.
Language: Python - Size: 12.2 MB - Last synced at: 24 days ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0
rantsandruse/pytorch_lstm_02minibatch
Pytorch LSTM tagger tutorial with minibatch training. Includes discussion on proper padding, embedding, initialization and loss calculation.
Language: Python - Size: 61.5 KB - Last synced at: 8 months ago - Pushed at: over 4 years ago - Stars: 7 - Forks: 0
TIXFeniks/batch-iterator
Usefull python implementation of batch iterator.
Language: Python - Size: 3.91 KB - Last synced at: 11 days ago - Pushed at: over 7 years ago - Stars: 3 - Forks: 0
RayanAAY-ops/MinibatchKmeans-vs-Kmeans
In this notebook, I compared two famous clustering algorithm, the minibatchkmeans and the regular kmeans on cellular image dataset.
Language: Jupyter Notebook - Size: 1.12 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 5 - Forks: 0
jiwoncpark/deep-learning-notebooks
Tutorials in various concepts related to deep learning
Language: Jupyter Notebook - Size: 23.3 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 11 - Forks: 1
microparsec/digitnn
Simple neural network classifier on the MNIST digit set
Language: Python - Size: 76 MB - Last synced at: almost 2 years ago - Pushed at: about 7 years ago - Stars: 1 - Forks: 0
emanattia/Numerical_Optimization
Implementation of Gradient descent optimization algorithm from scratch
Language: Jupyter Notebook - Size: 2.05 MB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0
ahmedseeif2/Numerical-Optimization-For-Data-Science
Implement numerical optimization algorithms for data science.
Language: Jupyter Notebook - Size: 2.43 MB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0
giuliano-macedo/clusopt
A data stream clusterer and hyper parameter optimizer using microservices.
Language: Python - Size: 351 KB - Last synced at: 7 days ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0
