Top 23 Python Pytorch Projects
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.Project mention: [eclectus] - a free tool for stock research, I used nlp to summarize important sec filings | reddit.com/r/SideProject | 2021-06-13
If I was to do it again I would use Pegasus implemented with hugging face's tranformers https://huggingface.co/transformers/ https://huggingface.co/transformers/model_doc/pegasus.html
Clone a voice in 5 seconds to generate arbitrary speech in real-timeProject mention: I decided to create a version of Fitter Happier, but with Thom's synthesized voice. | reddit.com/r/radiohead | 2021-05-29
I used this github repository and this interview (I chose that interview because the background noise is clean)
Scout APM - Leading-edge performance monitoring starting at $39/month. Scout APM uses tracing logic that ties bottlenecks to source code so you know the exact line of code causing performance issues and can get back to building a great product faster.
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
OpenMMLab Detection Toolbox and BenchmarkProject mention: [D] Are there any good 3rd party image segmentation/ object detection frameworks besides Tensorflow and Pytorch? | reddit.com/r/MachineLearning | 2021-03-16
At least with Pytorch, it is trivial to Frankenstein things and just borrow whatever components you want from other repos. If you do want to look at a framework, I think MMDet is probably the only one that is actually used by some researchers to publish their own work: https://github.com/open-mmlab/mmdetection
Image-to-Image Translation in PyTorchProject mention: This Wojak Does Not Exist | news.ycombinator.com | 2020-12-31
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
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.Project mention: Wav2vec Unsupervised (wav2vec-U) is a framework for building speech recognition | news.ycombinator.com | 2021-05-21
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YOLOv5 in PyTorch > ONNX > CoreML > TFLiteProject mention: Tested YOLOv5 on a football game and it does pretty well. Still, the ball sometimes is not recognized. It would be great to distinguish players as a next goal to this use case. | reddit.com/r/computervision | 2021-04-28
I used ultralytics code: https://github.com/ultralytics/yolov5
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.Project mention: Best OCR for keras CNN trained handwritten character model? | reddit.com/r/tensorflow | 2021-06-03
There are many possible approaches to OCR. You might want to take a look at the pipeline of EasyOCR at https://github.com/JaidedAI/EasyOCR.
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.Project mention: SKLean, TensorFlow, etc vs Spark ML? | reddit.com/r/apachespark | 2021-02-12
I'm the maintainer for an open source project called Horovod that allows you to distribute deep learning training (e.g., TensorFlow) on platforms like Spark.
A very simple framework for state-of-the-art Natural Language Processing (NLP)Project mention: Advice for how to approach classifying apartment posts on facebook? | reddit.com/r/LanguageTechnology | 2021-06-04
For example, my first approach to the pet sentences would be to label all sentences within a respective text corpus containing according information for either yes or no. You would then convert this to a tertiary tag set, something like ["pet allowed", "pet not allowed", "irrelevant"]. You could then try out a model based on SentenceBert, other sentence-level embeddings/language models or 1D CNNs for this. flairNLP (https://github.com/flairNLP/flair) is a small, little framework which provides comfortable high-level access to different common language models which integrates perfectly with pyTorch.
An open-source NLP research library, built on PyTorch.Project mention: C4 dataset released (800GB Common Crawl-derived text; T5 training data) | reddit.com/r/mlscaling | 2021-03-16
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 175 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.
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.Project mention: [D] Efficient ways of choosing number of layers/neurons in a neural network | reddit.com/r/statistics | 2021-04-20
optuna, hyperopt, nni, plenty of less-known tools too.
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
🤗 The largest hub of ready-to-use NLP datasets for ML models with fast, easy-to-use and efficient data manipulation toolsProject mention: Build an Embeddings index with Hugging Face Datasets | dev.to | 2021-01-28
This article shows how txtai can index and search with Hugging Face's Datasets library. Datasets opens access to a large and growing list of publicly available datasets. Datasets has functionality to select, transform and filter data stored in each dataset.
A library for answering questions using data you cannot seeProject mention: Google Strikes Deal With Hospital Chain to Develop Healthcare Algorithms | reddit.com/r/medicine | 2021-05-26
I think this is how it will be done. Look up PySift for how we can extract high-level insights from private datasets while preserving granular privacy.
Official Stanford NLP Python Library for Many Human Languages
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.
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML. (by microsoft)Project mention: [D] Tools for converting TF code to Pytorch | reddit.com/r/MachineLearning | 2021-02-01
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.Project mention: Are there any speech recognition modules so I can write one and do not have to rely on google and the likes? | reddit.com/r/learnmachinelearning | 2021-04-18
Synthesizing and manipulating 2048x1024 images with conditional GANsProject mention: How to access a class object when I use torch.nn.DataParallel()? | reddit.com/r/pytorch | 2021-03-12
I used Pix2PixHD implementation in GitHub if you want to see the full code.
Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking SystemProject mention: Human Pose Estimation Recommendation | reddit.com/r/computervision | 2021-05-02
What are some of the best open-source Pytorch projects in Python? This list will help you: