Python Tensorflow

Open-source Python projects categorized as Tensorflow | Edit details

Top 23 Python Tensorflow Projects

  • GitHub repo transformers

    🤗 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.

  • GitHub repo Keras

    Deep Learning for humans

    Project mention: 5 ways to keep your skills fresh after finishing a coding bootcamp | dev.to | 2021-11-28

    One way to improve your projects and coding skills is to try new models and libraries. For example, if you did classification with logistic regression, try also with random forest; if you used Tensorflow, now try Keras; if you scraped a website with BeautifulSoup, now do it with Scrapy. You get the point.

  • Scout APM

    Scout APM: A developer's best friend. Try free for 14-days. 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.

  • GitHub repo Real-Time-Voice-Cloning

    Clone a voice in 5 seconds to generate arbitrary speech in real-time

    Project 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.

  • GitHub repo bert

    TensorFlow code and pre-trained models for BERT

    Project mention: Is huggingface pre-trained models on their site can be used for commercial use? | reddit.com/r/LanguageTechnology | 2021-09-20

    But I can see that the LICENSE over on Google's bert repository comes with an Apache License, meaning we can generally use it - and amusingly if you scroll down to the 'date' and 'author', it says:

  • GitHub repo data-science-ipython-notebooks

    Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

    Project mention: Beginner in Python for Data Science | reddit.com/r/learnpython | 2020-12-27

    data science ipython notebooks

  • GitHub repo Mask_RCNN

    Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

    Project mention: Creating a training set for the MaskRCNN | reddit.com/r/deeplearning | 2021-10-25

    I am benefiting from this notebook and as it does I “train only the head layers” for 50 epochs. https://github.com/matterport/Mask_RCNN/blob/master/samples/shapes/train_shapes.ipynb

  • GitHub repo spleeter

    Deezer source separation library including pretrained models.

    Project mention: Cutting out drums from a sample | reddit.com/r/mpcusers | 2021-11-29

    https://github.com/deezer/spleeter if you are good at computer

  • Nanos

    Run Linux Software Faster and Safer than Linux with Unikernels.

  • GitHub repo jina

    Cloud-native neural search framework for 𝙖𝙣𝙮 kind of data

    Project 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)

  • GitHub repo facenet

    Face recognition using Tensorflow

    Project mention: CompreFace - Free and open-source self-hosted face recognition system from Exadel | reddit.com/r/selfhosted | 2021-05-07

    As for me, openface is already outdated - the latest release was in 2016. If you look for a library, the easiest to use is ageitgey/face_recognition. The more accurate libraries are davidsandberg/facenet and deepinsight/insightface.

  • GitHub repo horovod

    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.

  • GitHub repo d2l-en

    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.

  • GitHub repo datasets

    🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

    Project 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

  • GitHub repo nni

    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

  • GitHub repo bert-as-service

    Mapping a variable-length sentence to a fixed-length vector using BERT model

    Project mention: Needed 100% to pass a safety quiz, need to wait a week to retake | reddit.com/r/mildlyinfuriating | 2021-01-12

    You joke but

  • GitHub repo TFLearn

    Deep learning library featuring a higher-level API for TensorFlow.

    Project mention: Base ball | dev.to | 2021-03-20

    Both the teams in a game are given their individual ID values and are made into vectors. Relevant data like the home and away team, home runs, RBI’s, and walk’s are all taken into account and passed through layers. There’s no need to reinvent the wheel here, there's a multitude of libraries that enable a coder to implement machine learning theories efficiently. In this case we will be using a library called TFlearn, documentation available from http://tflearn.org. The program will output the home and away teams as well as their respective score predictions.

  • GitHub repo autokeras

    AutoML library for deep learning

    Project mention: Ask HN: Which piece of tech is underutilized? | news.ycombinator.com | 2021-11-06

    I think the interfaces aren't high level enough for the average programmer to adopt it. It needs what https://autokeras.com is for neural nets.

  • GitHub repo best-of-ml-python

    🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

    Project mention: Awesome list of ML | reddit.com/r/programming | 2021-09-16
  • GitHub repo MMdnn

    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
  • GitHub repo seq2seq

    A general-purpose encoder-decoder framework for Tensorflow

    Project mention: Tegin huvitava avastuse. Google translate tõlkides automaatselt määrab meie ilma soota asesõnad inglise keeles sooliseks olenevalt sellest, mis ametinimetust lauses kasutad. | reddit.com/r/Eesti | 2021-02-05

    Treenimiseks antakse masinale (https://github.com/google/seq2seq) väga palju tõlkepaare sisse, kui need tõlkepaarid ongi tänapäevasest stereotüüpsest maailmast siis väga midagi sinna parata ei saa. Keegi teadlikult vähemalt seda masinat stereotüüpseks ei teinud.

  • GitHub repo Learning-to-See-in-the-Dark

    Learning to See in the Dark. CVPR 2018

    Project mention: This AI fixes your dark photos.. | reddit.com/r/Damnthatsinteresting | 2021-02-12

    I think this algorithm can be applied to cameras. If you know coding, you can check out this: https://github.com/cchen156/Learning-to-See-in-the-Dark

  • GitHub repo textgenrnn

    Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.

    Project mention: I trained a neural network on every town and village name in England and then made a website that lets you generate them | reddit.com/r/unitedkingdom | 2021-08-30

    This is an utterly fantastic question but I actually don't understand much about neural nets at all, and am just using a prebuilt python library is basically text based neural nets for idiots (https://github.com/minimaxir/textgenrnn) Happy to share data though if you want to find this out and would know how?

  • GitHub repo RobustVideoMatting

    Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!

    Project mention: [D] AI Background Removal: a quick comparison between RVM & BGMv2 | reddit.com/r/MachineLearning | 2021-10-10

    GitHub

  • GitHub repo MindsDB

    Predictive AI layer for existing databases.

    Project mention: Release0.3 Using PyParing lib in mindsdb | dev.to | 2021-11-29

    MindsDB is a predictive platform that makes databases intelligent and machine learning easy to use. It allows data analysts to build and visualize forecasts in BI dashboards without going through the complexity of ML pipelines, all through SQL. It also helps data scientists to streamline MLOps by providing advanced instruments for in-database machine learning and optimize ML workflows through a declarative JSON-AI syntax. I did 3 issues of this project, 1773 and 1771 have merged, and 1777 is reviewing.

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020). The latest post mention was on 2021-11-29.

Python Tensorflow related posts

Index

What are some of the best open-source Tensorflow projects in Python? This list will help you:

Project Stars
1 transformers 54,578
2 Keras 53,329
3 Real-Time-Voice-Cloning 31,443
4 bert 29,796
5 data-science-ipython-notebooks 21,875
6 Mask_RCNN 20,945
7 spleeter 17,999
8 jina 12,306
9 facenet 12,149
10 horovod 11,881
11 d2l-en 11,569
12 datasets 11,380
13 nni 10,603
14 bert-as-service 9,747
15 TFLearn 9,570
16 autokeras 8,250
17 best-of-ml-python 5,921
18 MMdnn 5,468
19 seq2seq 5,434
20 Learning-to-See-in-the-Dark 5,133
21 textgenrnn 4,570
22 RobustVideoMatting 4,521
23 MindsDB 4,096
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