pytorch-image-classification
pytorch-seq2seq
pytorch-image-classification | pytorch-seq2seq | |
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1 | 3 | |
899 | 5,175 | |
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2.6 | 5.4 | |
over 2 years ago | 4 months ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | MIT License |
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pytorch-image-classification
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neural networks project
https://github.com/bentrevett/pytorch-image-classification You can find plethora of options like the one above that I have sent, just google it, After mnist usually people go for image classification for differentiating between cats and dogs
pytorch-seq2seq
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A Good Github Repo to Look at (CS388 Natural Language Processing)
I don't know how many people are taking CS388 NLP in Fall 2022, but the assignment is really putting lots of stress on me. I was searching some good materials to prepare for NLP class, and a really good resource to look at is this github repo: https://github.com/bentrevett/pytorch-seq2seq.
- [D] How to truly understand attention mechanism in transformers?
- [D] Resources for Understanding The Original Transformer Paper
What are some alternatives?
gan-vae-pretrained-pytorch - Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.
Time-Series-Forecasting-Using-LSTM - Time-Series Forecasting on Stock Prices using LSTM
SimCLR - PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
tensor2tensor - Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
PyTorch-Crash-Course - This is the repository for the PyTorch machine learning crash course.
poolformer - PoolFormer: MetaFormer Is Actually What You Need for Vision (CVPR 2022 Oral)
Speech-Emotion-Classification-by-utilizing-a-Convolutional-Neural-Network - Enhancing Speech Emotion Classification with CNNs: This project seeks to overcome the limitations of traditional approaches and improve the accuracy of emotion recognition. CNNs automatically extract features from speech signals, capturing complex patterns and nuances, leading to enhanced performance compared to traditional methods.
Behavior-Sequence-Transformer-Pytorch - This is a pytorch implementation for the BST model from Alibaba https://arxiv.org/pdf/1905.06874.pdf
ru-dalle - Generate images from texts. In Russian
sequitur - Library of autoencoders for sequential data
awesome-speech-recognition-speech-synthesis-papers - Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)
pytorch-GAT - My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!