Python Tensorflow

Open-source Python projects categorized as Tensorflow

Top 23 Python Tensorflow Projects

  • transformers

    🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

    Project mention: BetterTransformer: PyTorch-native free-lunch speedups for Transformer-based models | | 2022-11-22

    In order to support BetterTransformer with the canonical Transformer models from Transformers library, an integration was done with the open-source library Optimum as a one-liner:

  • Keras

    Deep Learning for humans

    Project mention: Weekly Quant Update 10.11.22 - Surviving a fundamental crisis with trading bots | | 2022-11-10

    All strategies share some common traits: They all use Neural Net libraries. 2 use TensorFlow The other uses python Keras Library

  • Sonar

    Write Clean Python Code. Always.. Sonar helps you commit clean code every time. With over 225 unique rules to find Python bugs, code smells & vulnerabilities, Sonar finds the issues while you focus on the work.

  • Real-Time-Voice-Cloning

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

    Project mention: Speech to text | | 2022-09-29
  • bert

    TensorFlow code and pre-trained models for BERT

    Project mention: [R] LiBai: a large-scale open-source model training toolbox | | 2022-11-09

    Found relevant code at + all code implementations here

  • 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.

  • Mask_RCNN

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

    Project mention: DeepCreamPy & Hent-AI Guide: Installation and anime censorship removal (Version 2) | | 2022-10-20

    It is important to realize that to do its masking procedures, Hent-AI uses the Mask RCNN (MRCNN) package from Matterport. The problem with this version of MRCNN is that it is not compatible with Tensorflow 2.X versions, essentially limiting Hent-AI compatibility to strict Tensorflow 1.X versions. Since Tensorflow 1.15 is the last of the Tensorflow 1.X versions and uses CUDA 10.0, which supports a maximum compute capability of 7.5, this means that the last NVIDIA GPU series that is compatible with the original Hent-AI implementation is the RTX 2000 series. This is, of course, not optimal since it means that RTX 3000 series and later GPUs cannot be used despite their significant computing power and high VRAM.

  • spleeter

    Deezer source separation library including pretrained models.

    Project mention: Need help isolating and separating audio | | 2022-11-21

    You can look into Demucs GUI. It's an AI music seperation tool developed by Facebook AI research. There are other music seperation tools like Deezer's Spleeter which I think is the music seperation engine used used in iZotope's RX10 (at no cost). Demucs is ime is the best at isolating vocals if you use the unquantized trained modelsi.e mdx and mdx_extra. Personally I find mdx_extra the best trained model for Demucs.

  • Scout APM

    Truly a developer’s best friend. Scout APM is great for developers who want to find and fix performance issues in their applications. With Scout, we'll take care of the bugs so you can focus on building great things 🚀.

  • d2l-en

    Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.

    Project mention: How to pre-train BERT on different objective tasks using HuggingFace | | 2022-04-10

    There might is bert library for pre-train bert model in huggingface, But I suggestion that you train bert model in native pytorch to understand detail, Limu's course is recommended for you

  • datasets

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

    Project mention: FauxPilot – an open-source GitHub Copilot server | | 2022-08-02

    And then pass that my_code.json as the dataset name.


  • horovod

    Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

    Project mention: Anyone know of any papers or models for segmenting satellite images of a city into things like roads, buildings, parks, etc? | | 2022-04-25

    Training is not the same as inference (doing the segmentation), so that scale is probably off by a lot. One or two orders of magnitude just depending on the specifics of what hardware you're running on, and your training and eval dataset would be several orders of magnitude smaller. FAANGs would parallelize that training as well (don't remember if UNet is inherently parallelizable for training) via their internal equivalent of Horovod, so they'll do a GPU-month worth of training in less than a day.

  • facenet

    Face recognition using Tensorflow

  • nni

    An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

  • best-of-ml-python

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

    Project mention: Best-Of Machine Learning with Python | | 2022-04-28
  • clip-as-service

    🏄 Embed/reason/rank images and sentences with CLIP models

    Project mention: Image Similarity Score using transfer learning | | 2022-08-31
  • TFLearn

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

    Project mention: Beginner Friendly Resources to Master Artificial Intelligence and Machine Learning with Python (2022) | | 2022-08-14

    TFLearn – Deep learning library featuring a higher-level API for TensorFlow

  • autokeras

    AutoML library for deep learning

    Project mention: Machine Learning Algorithms Cheat Sheet | | 2022-02-19
  • ivy

    The Unified Machine Learning Framework

    Project mention: DL Frameworks in a nutshell | | 2022-09-10

    Won't it all come together with ?

  • python-small-examples

    告别枯燥,致力于打造 Python 实用小例子,更多Python良心教程见 Python中文网

    Project mention: Ask HN: What are the best tutorial sites for Python? | | 2022-11-23

    All these are neither recent (they are updated though) nor AI related. Here you go :

    If you are new to dev, I like "think python"

    If you are already into programming, I personally find sifting through organized small code snippets helpful for learning a new language :

    Finally, "The Hitchhiker’s Guide to Python" is good for everything configuration, and usage.

  • TensorLayer

    Deep Learning and Reinforcement Learning Library for Scientists and Engineers

    Project mention: Introduction to ‘TensorLayer’: A Python-based Versatile Deep Learning Library Designed for Machine Learning Researchers | | 2022-02-20


  • deepo

    Setup and customize deep learning environment in seconds.

    Project mention: Base image with both PyTorch and Tensorflow? | | 2022-02-09

    I found an image though, though there's some setup involved:

  • frigate

    NVR with realtime local object detection for IP cameras

    Project mention: UK government ban for Chinese Hikvision CCTV cameras | | 2022-11-25

    If anyone is considering installing CCTV cameras in 2022 an open source offering called Frigate is a good option:

  • darkflow

    Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

    Project mention: Does the Haskell client for Selenium still work? | | 2022-06-29

    You could already tell from my earlier comment, but I don't think Python is a good language, for anything really. It is used for AI so that today's hardware performs like hardware we had twenty years ago: Python code has slow execution speed. It is not always the Selenium which is slow. sometimes we need to look at code we are using. And Python is always the slowest programming language out there in terms of performance. It's also just a stupid language that annoys me and it's the same with other people: With Python, I find it a bit too easy to write sloppy code. Haskell on the other hand really forces you to break the problem done and abstract out reusable code. That's not to say that you can't write nice code in Python, just that Haskell doesn't let you get away with doing a lot of stupid stuff. This is equally important for Selenium.

  • einops

    Deep learning operations reinvented (for pytorch, tensorflow, jax and others)

    Project mention: [D] Any independent researchers ever get published/into conferences? | | 2022-04-29

    It depends on what are their main purposes. I know some figures who have done an amazing job in this field but never because of publications, e.g. and,

  • InfluxDB

    Build time-series-based applications quickly and at scale.. InfluxDB is the Time Series Data Platform where developers build real-time applications for analytics, IoT and cloud-native services in less time with less code.

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 2022-11-25.

Python Tensorflow related posts


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

Project Stars
1 transformers 74,719
2 Keras 56,727
3 Real-Time-Voice-Cloning 37,833
4 bert 32,586
5 data-science-ipython-notebooks 24,227
6 Mask_RCNN 22,451
7 spleeter 20,855
8 d2l-en 15,632
9 datasets 14,783
10 horovod 12,854
11 facenet 12,785
12 nni 12,254
13 best-of-ml-python 11,952
14 clip-as-service 10,969
15 TFLearn 9,581
16 autokeras 8,664
17 ivy 7,567
18 python-small-examples 7,278
19 TensorLayer 7,108
20 deepo 6,293
21 frigate 6,062
22 darkflow 6,036
23 einops 6,035
Delete the most useless function ever: context switching.
Zigi monitors Jira and GitHub updates, pings you when PRs need approval and lets you take fast actions - all directly from Slack! Plus it reduces cycle time by up to 75%.