sense
pytorch-tutorial
| sense | pytorch-tutorial | |
|---|---|---|
| 4 | 3 | |
| 726 | 29,128 | |
| 0.0% | - | |
| 0.0 | 0.0 | |
| over 2 years ago | 9 months ago | |
| Python | Python | |
| MIT License | MIT License |
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sense
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Can not Download 20BN Jester Dateset
Because of the fact that Qualcomm acquired 20 billion neurons (20bn), jester dataset can't be downloaded from their website. Does anyone know an alternative source to download?
- Sense: A New Open-Source Video Understanding Framework for Deep Learning
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[P] Sense: Open Source Framework for Video Understanding & Action Recognition with Deep Learning
For counting, the Sense project provides a tool for temporally annotating your videos. This way you can tag key positions in the movement (like up and down position for pushups), which the model will also learn to output and can then easily be counted. Here's an example script for counting jumping jacks and squats.
pytorch-tutorial
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PyTorch - What does contiguous() do?
I was going through this example of a LSTM language model on github (link).What it does in general is pretty clear to me. But I'm still struggling to understand what calling contiguous() does, which occurs several times in the code.
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How to 'practice' pytorch after finishing its basic tutorial?
I tried to move straight to practicing implementing papers and trying to understand other people's codes but failed miserably. I feel like there was too much of a gap between the basic tutorial and being able to implement ideas into code....hence the question: Is there any resource/way to practice pytorch in general? I did find this and this, but I just wanted to hear what others have gone through to become better at PyTorch up to the point they can build stuff from their own ideas
- [P] Probabilistic Machine Learning: An Introduction, Kevin Murphy's 2021 e-textbook is out
What are some alternatives?
transfer-learning-conv-ai - 🦄 State-of-the-Art Conversational AI with Transfer Learning
mixture-of-experts - PyTorch Re-Implementation of "The Sparsely-Gated Mixture-of-Experts Layer" by Noam Shazeer et al. https://arxiv.org/abs/1701.06538
SSD-pytorch - SSD: Single Shot MultiBox Detector pytorch implementation focusing on simplicity
InceptionTime - InceptionTime: Finding AlexNet for Time Series Classification
NeuralCDE - Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)
Conv-TasNet - A PyTorch implementation of Conv-TasNet described in "TasNet: Surpassing Ideal Time-Frequency Masking for Speech Separation" with Permutation Invariant Training (PIT).
pytorch-forecasting - Time series forecasting with PyTorch
pytorch-grad-cam - Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
hagrid - HAnd Gesture Recognition Image Dataset
BigGAN-PyTorch - The author's officially unofficial PyTorch BigGAN implementation.
bonito - A PyTorch Basecaller for Oxford Nanopore Reads
OpenNMT-py - Open Source Neural Machine Translation and (Large) Language Models in PyTorch