Top 23 Python Pytorch Projects
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.Project mention: Retrieval Augmented Generation with Huggingface Transformers and Ray | reddit.com/r/deeplearning | 2021-02-10
Improving the scalability RAG distributed fine tuning
Clone a voice in 5 seconds to generate arbitrary speech in real-timeProject mention: Cost for a voice skin? | reddit.com/r/deeplearning | 2021-02-21
I can do the coding myself. It looks like there are some FOSS projects with pretrained models that only need a few seconds of audio for new voices.
Get performance insights in less than 4 minutes. 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: [P] Probabilistic Machine Learning: An Introduction, Kevin Murphy's 2021 e-textbook is out | reddit.com/r/MachineLearning | 2021-01-01
Image-to-Image Translation in PyTorchProject mention: This Wojak Does Not Exist | news.ycombinator.com | 2020-12-31
OpenMMLab Detection Toolbox and BenchmarkProject mention: Mask RCNN implementation in python | reddit.com/r/computervision | 2021-02-11
I’ve trained Mask RCNN in Google Colab using this Pytorch library - https://github.com/open-mmlab/mmdetection
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.Project mention: DDP with model parallelism with multi host multi GPU system | reddit.com/r/pytorch | 2021-02-07
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.Project mention: What are some good speech recognition papers I can implement? | reddit.com/r/MLQuestions | 2021-02-01
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.
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.Project mention: Using Google's OCR API with Puppeteer for Visual Testing | dev.to | 2021-02-08
There are multiple open-source OCR tools like pytesseract or EasyOCR, which can be used to integrate OCR functionality into a program. However, these tools require significant configurations to get up and running to provide results with an acceptable accuracy level.
An open-source NLP research library, built on PyTorch.Project mention: AllenNLP v2.0.0 | news.ycombinator.com | 2021-01-27
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.Project mention: How we were able to achieve hyper-parameter tuning (HPT) for deep learning workflows at 1.5x faster in our clusters and 3x cheaper on AWS | reddit.com/r/learnmachinelearning | 2021-02-23
To tackle the problem of long and expensive HPT workflows, our team at Petuum collaborated with Microsoft to integrate AdaptDL with Neural Network Intelligence (NNI). AdaptDL is an open-source tool in the CASL (Composable, Automatic, and Scalable Learning) ecosystem. AdaptDL offers adaptive resource management for distributed clusters, and reduces the cost of deep learning workloads ranging from a few training/tuning trials to thousands. NNI from the Microsoft open-source community, is a toolkit for automatic machine learning (AutoML) and hyper-parameter tuning.
YOLOv5 in PyTorch > ONNX > CoreML > TFLiteProject mention: Scaled Yolo v4 and yolov5 Scaling linearly with batchsize | reddit.com/r/deeplearning | 2021-02-17
Bringing Old Photo Back to Life (CVPR 2020 oral)Project mention: Weekly Developer Roundup #23 - Sun Nov 22 2020 | dev.to | 2020-11-21
microsoft/Bringing-Old-Photos-Back-to-Life (Python): Bringing Old Photo Back to Life (CVPR 2020 oral)
🤗 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.
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: [D] Will Nvidia's anti-mining GPU modifications affect deep learning performance? | reddit.com/r/MachineLearning | 2021-02-20
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.Project mention: best-of-python: A ranked list of awesome Python libraries and tools | reddit.com/r/Python | 2021-01-14
Here ya go: https://github.com/ml-tooling/best-of-ml-python/pull/47
Code for the paper "Jukebox: A Generative Model for Music"Project mention: Any of these bands like Tally Hall? | reddit.com/r/tallyhall | 2021-02-23
Open Source Differentiable Computer Vision Library for PyTorch
End-to-End Speech Processing ToolkitProject mention: What are some good speech recognition papers I can implement? | reddit.com/r/MLQuestions | 2021-02-01
Simple PyTorch Tutorials Zero to ALL!Project mention: [D] I'm trying to do more stuff in pure Tensorflow. Is there an in-depth book that explain constructing recurrent, convolutional, graph etc layers in it? | reddit.com/r/MachineLearning | 2021-01-30
I'm doing this rn, but with PyTorch. I look for notebooks/scripts (https://github.com/hunkim/PyTorchZeroToAll, primarily) on github read and copy them, along with the deeplearning book. Surprisingly pretty much everything just clicks now, it's my third attempt reading the text though. I don't think any book serves the purpose well, except for knowing the well established conventions of the field.
Predictive AI layer for existing databases.
Segmentation models with pretrained backbones. PyTorch.Project mention: C++ trainable semantic segmentation models | reddit.com/r/computervision | 2021-02-23
This project is under developing. By now, these projects helps a lot. - official pytorch - qubvel SMP - nlohmann json
What are some of the best open-source Pytorch projects in Python? This list will help you: