Top 23 Python Pytorch Projects
🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.Project mention: [D] How do pretrained tokenizers work? | reddit.com/r/MachineLearning | 2021-11-26
I have been using the pretrained tokenizers available from the huggingface/transformers library. And they have been working well for my use case.
Clone a voice in 5 seconds to generate arbitrary speech in real-timeProject mention: Getting started with a GitHub project, question about Python | reddit.com/r/learnprogramming | 2021-11-23
Hi, I'm looking to try out a GitHub project (https://github.com/CorentinJ/Real-Time-Voice-Cloning) and already feeling in over my head.
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PyTorch Tutorial for Deep Learning ResearchersProject mention: How to 'practice' pytorch after finishing its basic tutorial? | reddit.com/r/learnmachinelearning | 2021-05-09
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
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLiteProject mention: Hey, I'm trying to find some materials about object detection in Pytorch but I'm having a hard time finding it. | reddit.com/r/pytorch | 2021-11-26
And there are explanations: it's the research articles as well as the blog articles talking about them. And 99% of the code you'll find is open sourced: - The official torchvision has various models described here with their reference papers and the code of these models is found on the gitub page - You can find almost-official YOLO implementation on this github page.
OpenMMLab Detection Toolbox and BenchmarkProject mention: [D] Good quality code repos on deep learning | reddit.com/r/MachineLearning | 2021-08-27
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.Project mention: [D] Colab TPU low performance | reddit.com/r/MachineLearning | 2021-11-18
I wanted to make a quick performance comparison between the GPU (Tesla K80) and TPU (v2-8) available in Google Colab with PyTorch. To do so quickly, I used an MNIST example from pytorch-lightning that trains a simple CNN.
Image-to-Image Translation in PyTorchProject mention: I made a 3d topographic map based on my recent civ6 game | reddit.com/r/civ | 2021-08-03
pix2pix algorithm is used for translating Civ6Maps to heightmaps. Synthesized terrain was rendered in blender.
Run Linux Software Faster and Safer than Linux with Unikernels.
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.Project mention: Meta/Facebook AI Releases XLS-R: A Self-Supervised Multilingual Model Trained On 128 Languages For A Variety Of Speech Tasks | reddit.com/r/ArtificialInteligence | 2021-11-22
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.Project mention: [Question] Best approach for Optical Character recognition on large (20MB+) photos? | reddit.com/r/opencv | 2021-11-10
Try easyocr or Tesseract. Both are pretty easy to use and don't need much background in OpenCV.
Graph Neural Network Library for PyTorch
Cloud-native neural search framework for 𝙖𝙣𝙮 kind of dataProject mention: Open source tools to track github repository stats? | reddit.com/r/opensource | 2021-10-24
I use this tool everyday to track growth for Jina (an open-source neural search framework)
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.Project mention: [D] GPU buying recommendation | reddit.com/r/MachineLearning | 2021-07-17
If you just want to run tensorflow or pytorch for a Jupyter notebook, setting the environment shouldn't be difficult. I know that AWS has a marketplace of preconfigured images. However, you can go as advanced as setting up a cluster of gpu-equipped nodes to setup Horovod (https://github.com/horovod/horovod) to do distributed machine learning. Yes, there's a learning curve, but you cannot acquire this skillet any other way.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.Project mention: I created a way to learn machine learning through Jupyter | reddit.com/r/learnmachinelearning | 2021-04-30
There are actually some online books and courses built on Jupyter Notebook ([Dive to Deep Learning Book](https://github.com/d2l-ai/d2l-en) for example). However yours is more detail and could really helps beginners.
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation toolsProject mention: Hugging Face Introduces ‘Datasets’: A Lightweight Community Library For Natural Language Processing (NLP) | reddit.com/r/artificial | 2021-11-08
Code for https://arxiv.org/abs/2109.02846 found: https://github.com/huggingface/datasets
A very simple framework for state-of-the-art Natural Language Processing (NLP)Project mention: How to create a dataset for training NER models when you only have entity data | reddit.com/r/LanguageTechnology | 2021-10-18
We have a list of entities in text files separated with a new line. We intend to train the flair model to detect these entities in text, but NER models require the entity to be labeled in a paragraph with BOI format.
An open-source NLP research library, built on PyTorch.Project mention: Cedille, the largest French language model, open source with a freely accessible playground | reddit.com/r/GPT3 | 2021-11-12
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.Project mention: Automated Machine Learning (AutoML) - 9 Different Ways with Microsoft AI | dev.to | 2021-10-04
For a complete tutorial, navigate to this Jupyter Notebook: https://github.com/microsoft/nni/blob/master/examples/notebooks/tabular_data_classification_in_AML.ipynb
Bringing Old Photo Back to Life (CVPR 2020 oral)Project mention: Photo restoration options? | reddit.com/r/selfhosted | 2021-10-17
https://github.com/microsoft/Bringing-Old-Photos-Back-to-Life Didn't use it yet but in my to do list.
YOLOv3 in PyTorch > ONNX > CoreML > TFLite (by ultralytics)Project mention: I don't know how to train a YOLO v3 model with some custom data that is labeled in an unusual form (XML files) | reddit.com/r/learnmachinelearning | 2021-10-29
Each image has an XML file associated with it. The XML files have the corresponding labels and bounding boxes, so I can write a script to convert them into this form, and follow this tutorial on training custom data.
Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration.Project mention: Profiles of the five branches of the Magaambya | reddit.com/r/strengthofthousands | 2021-11-22
A PyTorch implementation of the Transformer model in "Attention is All You Need".Project mention: Lack of activation in transformer feedforward layer? | reddit.com/r/learnmachinelearning | 2021-05-20
I'm curious as to why the second matrix multiplication is not followed by an activation unlike the first one. Is there any particular reason why a non-linearity would be trivial or even avoided in the second operation? For reference, variations of this can be witnessed in a number of different implementations, including BERT-pytorch and attention-is-all-you-need-pytorch.
DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.Project mention: Nvidia Fiscal Q3 2022 Financial Result | reddit.com/r/nvidia | 2021-11-17
Described a collaboration involving NVIDIA Megatron-LM and Microsoft DeepSpeed to create an efficient, scalable, 3D parallel system capable of combining data, pipeline and tensor-slicing-based parallelism.
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.Project mention: Awesome list of ML | reddit.com/r/programming | 2021-09-16
Python Pytorch related posts
I reported him third time (tbh I never got banned from any subreddit or by any redditor, and now I feel bad)
1 project | reddit.com/r/DesiMeta | 28 Nov 2021
19F. What do you think about me? 😜
1 project | reddit.com/r/firstimpression | 27 Nov 2021
Ai generated art by the word "Clitoris"
1 project | reddit.com/r/MakeMeSuffer | 27 Nov 2021
AI generated image with prompt as "living room jungle"
1 project | reddit.com/r/plants | 26 Nov 2021
Reddit / social media is full of bots
1 project | reddit.com/r/RedPill_NoShill | 26 Nov 2021
An interesting post from Sir Ray Avery
1 project | reddit.com/r/ConservativeKiwi | 26 Nov 2021
[Research] Optimizing a kernel matrix
2 projects | reddit.com/r/MachineLearning | 26 Nov 2021
What are some of the best open-source Pytorch projects in Python? This list will help you:
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