Top 23 Python Pytorch Projects
🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.Project mention: Export and run other machine learning models | dev.to | 2021-10-14
Clone a voice in 5 seconds to generate arbitrary speech in real-timeProject mention: Is there a free (preferably open source) offline invoice creation software for windows 10? | reddit.com/r/software | 2021-09-27
Optimize your datasets for ML. Goodbye, boilerplate code - the fastest dataset optimization and management tool for computer vision.
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: Identification of similar objects (nuts and bolts) | reddit.com/r/MLQuestions | 2021-09-29
Take a look at YoloV5. This is a pretrained NN that you can easily adapt to your problem. Its free.
OpenMMLab Detection Toolbox and BenchmarkProject mention: [D] Good quality code repos on deep learning | reddit.com/r/MachineLearning | 2021-08-27
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.
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.Project mention: [P] An introduction to PyKale https://github.com/pykale/pykale, a PyTorch library that provides a unified pipeline-based API for knowledge-aware multimodal learning and transfer learning on graphs, images, texts, and videos to accelerate interdisciplinary research. Welcome feedback/contribution! | reddit.com/r/MachineLearning | 2021-04-25
If you want a good example for reference, take a look at Pytorch Lightning's readme (https://github.com/PyTorchLightning/pytorch-lightning) It answers the 3 questions of "what is this", "why should I care", and "how do i use it" almost instantly
Run Linux Software Faster and Safer than Linux with Unikernels.
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.Project mention: BART: Denoising Seq2Seq Pre-training for NLG (explained) | news.ycombinator.com | 2021-10-08
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.Project mention: How would one go about recognizing a text (date) in an image? | reddit.com/r/MLQuestions | 2021-09-07
Try running https://github.com/JaidedAI/EasyOCR, which reads all the text from a given image. Then loop over the words read and see if it reads your date properly or if it splits it into multiple words. Even if it does this, you can easily find the year (you might need to do some postprocessing on what the ocr reads, i.e transform l to 1). The nice thing is that you get the bounding boxes of where the tect was read so you can use some sort of postprocessing on bbox locations and words read to find the month amd day (i.e. I read 25 at the same y index as the yesr but the x index is to the left, so its probably the day). Good luck :)
Graph Neural Network Library for PyTorchProject mention: [D] Asking for ideas on Matrix of only 0/1 values as inputs and real value outputs | reddit.com/r/MachineLearning | 2021-08-17
A pytorch implementation: https://github.com/rusty1s/pytorch_geometric
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.
Cloud-native neural search framework for 𝙖𝙣𝙮 kind of dataProject mention: DAE think it's really cool that we have open-source software tools to build our own search engines? | reddit.com/r/DoesAnybodyElse | 2021-10-11
if you'd like to skip the tutorial and dive head-on: https://github.com/jina-ai/jina
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 200 universities.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.
A very simple framework for state-of-the-art Natural Language Processing (NLP)Project mention: Preparing data for training NER models | reddit.com/r/LanguageTechnology | 2021-10-11
Training most of the Named Entity Recognition (NER) models for example Flair usually needs to format data in BOI tagging) scheme as shown below where each sentence is separated by blank line
An open-source NLP research library, built on PyTorch.Project mention: Any allennlp users in this sub? | reddit.com/r/LanguageTechnology | 2021-10-08
https://github.com/allenai/allennlp/discussions looks active
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
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation toolsProject mention: Datasets: A Community Library for Natural Language Processing | news.ycombinator.com | 2021-09-08
Bringing Old Photo Back to Life (CVPR 2020 oral)Project mention: Detroit, Michigan (1921) - 1080p Colorized and AI Enhanced [00:07:34] | reddit.com/r/Documentaries | 2021-05-07
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.Project mention: Awesome list of ML | reddit.com/r/programming | 2021-09-16
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.
Official Stanford NLP Python Library for Many Human Languages
DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.Project mention: Microsoft and NVIDIA AI Introduces MT-NLG: The Largest and Most Powerful Monolithic Transformer Language NLP Model | reddit.com/r/LanguageTechnology | 2021-10-13
Microsoft and NVIDIA present the Megatron-Turing Natural Language Generation model (MT-NLG), powered by DeepSpeed and Megatron, the largest and robust monolithic transformer language model trained with 530 billion parameters.
Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking SystemProject mention: Help finding an appropriate model for human pose estimation | reddit.com/r/computervision | 2021-09-29
alphapose: havent tried it, but looks to run at 16fps (maybe faster?) but is only intended for research not commercial. Training script available.
What are some of the best open-source Pytorch projects in Python? This list will help you:
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