Python Tensorflow

Open-source Python projects categorized as Tensorflow | Edit details

Top 23 Python Tensorflow Projects

  • GitHub repo Keras

    Deep Learning for humans

    Project mention: Data Science with JavaScript: What we've learned so far? | news.ycombinator.com | 2021-09-09
  • GitHub repo transformers

    🤗 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

    txtai primarily has support for Hugging Face Transformers and ONNX models. This enables txtai to hook into the rich model framework available in Python, export this functionality via the API to other languages (JavaScript, Java, Go, Rust) and even export and natively load models with ONNX.

  • Activeloop.ai

    Optimize your datasets for ML. Goodbye, boilerplate code - the fastest dataset optimization and management tool for computer vision.

  • GitHub repo Real-Time-Voice-Cloning

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

    Project mention: Is there a free (preferably open source) offline invoice creation software for windows 10? | reddit.com/r/software | 2021-09-27
  • 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: Mask RCNN results leave me puzzled - what am I doing wrong? | reddit.com/r/computervision | 2021-09-01

    My implementation is based on the balloons example https://github.com/matterport/Mask_RCNN/blob/master/samples/balloon/balloon.py I just don’t use the coloring but apply the highlight function of the model.

  • GitHub repo spleeter

    Deezer source separation library including pretrained models.

    Project mention: does a sub exist where helpful people are up for removing background sound from audio? | reddit.com/r/findareddit | 2021-10-04

    Try spleeter out: https://github.com/deezer/spleeter

  • 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 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 jina

    Cloud-native neural search framework for 𝙖𝙣𝙮 kind of data

    Project 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

  • GitHub repo d2l-en

    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.

  • 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 datasets

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

    Project mention: Datasets: A Community Library for Natural Language Processing | news.ycombinator.com | 2021-09-08
  • 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: Technical documentation that just works | news.ycombinator.com | 2021-05-27
  • 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: Launch HN: MindsDB (YC W20) – Machine Learning Inside Your Database | news.ycombinator.com | 2021-02-19

    Here's an issue that enumerates all pending tasks for a first iteration of this feature: https://github.com/mindsdb/mindsdb/issues/1116

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 2021-10-14.

Index

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

Project Stars
1 Keras 52,841
2 transformers 52,449
3 Real-Time-Voice-Cloning 30,439
4 bert 29,306
5 data-science-ipython-notebooks 21,689
6 Mask_RCNN 20,705
7 spleeter 17,679
8 facenet 12,058
9 horovod 11,737
10 jina 11,559
11 d2l-en 11,202
12 nni 10,368
13 datasets 10,108
14 bert-as-service 9,629
15 TFLearn 9,570
16 autokeras 8,165
17 best-of-ml-python 5,815
18 MMdnn 5,443
19 seq2seq 5,434
20 Learning-to-See-in-the-Dark 5,103
21 textgenrnn 4,541
22 RobustVideoMatting 3,987
23 MindsDB 3,973
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