scoutbee/pytorch-nlp-notebooks
quality grade F, 32 out of 100Learn how to use PyTorch to solve some common NLP problems with deep learning.
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Core deep-learning frameworks and libraries for pretraining and distributed training.
Signals: deep-learning, neural-network, pytorch, tensorflow, jax, distributed-training, training, deepspeed
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Learn how to use PyTorch to solve some common NLP problems with deep learning.
LibAUC: A Deep Learning Library for X-Risk Optimization
Technical experimentations to beat the stock market using deep learning :chart_with_upwards_trend:
Experimental tensor-typed deep learning
Курс "Глубокое обучение (Deep Learning)" (ВМК, МГУ имени М.В. Ломоносова)
A deep learning library for streamlining research and development using the Torch7 distribution.
Deep learning models for change detection of remote sensing images
MXNet Julia Package - flexible and efficient deep learning in Julia
Ladder network is a deep learning algorithm that combines supervised and unsupervised learning
Deep-Learning based CTR models implemented by PyTorch
Deep learning based speech source separation using Pytorch
(NeurIPS 2021) Revisiting Deep Learning Models for Tabular Data
A CUDNN minimal deep learning training code sample using LeNet.
A deep learning tool for time series classification and regression
Deep Learning Projects that Build Themselves
Intro to deep learning for medical imaging lesson, by MD.ai
C++ 11 implementation of Geoff Hinton's Deep Learning matlab code
Efficient, transparent deep learning in hundreds of lines of code.
Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations
Nimble: Physics Engine for Biomechanics and Deep Learning
Deep learning research framework based on Theano
PyTorch implementation of some attentions for Deep Learning Researchers.
a framework for training sequence-level deep learning networks
Velocity in deep-learning research
24,524 repositories in the index in total.