Python Tensorflow2

Open-source Python projects categorized as Tensorflow2 Edit details
Related topics: #Deep Learning #Tensorflow #Machine Learning #Python #Keras

Top 23 Python Tensorflow2 Projects

  • Machine-Learning-Collection

    A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)

    Project mention: I need help knowing how to improve a CycleGan I am working on. | reddit.com/r/learnmachinelearning | 2022-06-13

    with the source code here: Machine-Learning-Collection/ML/Pytorch/GANs/CycleGAN at master · aladdinpersson/Machine-Learning-Collection · GitHub

  • TensorFlowTTS

    :stuck_out_tongue_closed_eyes: TensorFlowTTS: Real-Time State-of-the-art Speech Synthesis for Tensorflow 2 (supported including English, French, Korean, Chinese, German and Easy to adapt for other languages)

    Project mention: NaturalSpeech: End-to-End Text to Speech Synthesis with Human-Level Quality | news.ycombinator.com | 2022-05-17

    I had a lot of success using [FastSpeech2 + MB MelGAN via TensorFlowTTS](https://github.com/TensorSpeech/TensorFlowTTS). There are demos for [iOS](https://github.com/TensorSpeech/TensorFlowTTS/tree/master/ex...) and [Android](https://github.com/TensorSpeech/TensorFlowTTS/tree/master/ex...) which will allow you to run pretty convincing, modern TTS models with only a few hundred milliseconds of processing latency.

  • Scout APM

    Less time debugging, more time building. Scout APM allows you to find and fix performance issues with no hassle. Now with error monitoring and external services monitoring, Scout is a developer's best friend when it comes to application development.

  • spektral

    Graph Neural Networks with Keras and Tensorflow 2.

    Project mention: [D] GNN Architecture that inputs and outputs both edge and node features? | reddit.com/r/MachineLearning | 2022-05-22

    I'm aware of Spektral: https://graphneural.network/

  • super-resolution

    Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution

    Project mention: Is it not possible to get good results in Deep Learning if dataset is small (1000 images)? [D] | reddit.com/r/MachineLearning | 2022-04-14

    https://github.com/krasserm/super-resolution (Super useful for me)

  • doctr

    docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.

    Project mention: DocTR: Open-Source OCR Based on TensorFlow or PyTorch | news.ycombinator.com | 2021-12-08

  • yolo-tf2

    yolo(all versions) implementation in keras and tensorflow 2.x

  • ydata-synthetic

    Synthetic structured data generators

    Project mention: Synthetic time series data generation | reddit.com/r/pytorch | 2021-12-16

    Ydata synthetic is a library that includes a TimeGan to generate time series data. https://github.com/ydataai/ydata-synthetic

  • SonarLint

    Deliver Cleaner and Safer Code - Right in Your IDE of Choice!. SonarLint is a free and open source IDE extension that identifies and catches bugs and vulnerabilities as you code, directly in the IDE. Install from your favorite IDE marketplace today.

  • DeepRL-TensorFlow2

    🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2

    Project mention: PPO implementation in TensorFlow2 | reddit.com/r/reinforcementlearning | 2021-09-12

    I've been searching for a clean, good, and understandable implementation of PPO for continuous action space with TF2 witch is understandable enough for me to apply my modifications, but the closest thing that I have found is this code which seems to not work properly even on a simple gym cartpole env (discussed issues in git-hub repo suggest the same problem) so I have some doubts :). I was wondering whether you could recommend an implementation that you trust and suggest :)

  • Deep-SORT-YOLOv4

    People detection and optional tracking with Tensorflow backend.

    Project mention: Hello everyone, I have a computer vision project which I am really not able to do. The project is like we need to detect a person and say how long was he in a particular area/grid. | reddit.com/r/computervision | 2021-09-22

  • metrabs

    Estimate absolute 3D human poses from RGB images.

    Project mention: UE4 Tutorial - AI Motion Capture From a Single Video (updated!) | reddit.com/r/unrealengine | 2021-12-29

    This isn't for blender but you're right there's already lots of open source implementations of AI motion capture that are probably just as good as OPs, here's one I found https://github.com/isarandi/metrabs

  • CARLA

    CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms (by carla-recourse)

    Project mention: [R] CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms | reddit.com/r/MachineLearning | 2021-09-29

    Abstract: Counterfactual explanations provide means for prescriptive model explanations by suggesting actionable feature changes (e.g., increase income) that allow individuals to achieve favourable outcomes in the future (e.g., insurance approval). Choosing an appropriate method is a crucial aspect for meaningful counterfactual explanations. As documented in recent reviews, there exists a quickly growing literature with available methods. Yet, in the absence of widely available open–source implementations, the decision in favour of certain models is primarily based on what is readily available. Going forward – to guarantee meaningful comparisons across explanation methods – we present CARLA (Counterfactual And Recourse Library), a python library for benchmarking counterfactual explanation methods across both different data sets and different machine learning models. In summary, our work provides the following contributions: (i) an extensive benchmark of 11 popular counterfactual explanation methods, (ii) a benchmarking framework for research on future counterfactual explanation methods, and (iii) a standardized set of integrated evaluation measures and data sets for transparent and extensive comparisons of these methods. We have open sourced CARLA and our experimental results on GitHub, making them available as competitive baselines. We welcome contributions from other research groups and practitioners.

  • Mask-RCNN-TF2

    Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow 2.0

  • quickai

    QuickAI is a Python library that makes it extremely easy to experiment with state-of-the-art Machine Learning models.

    Project mention: Show HN: QuickAI Version 2 Released | news.ycombinator.com | 2021-08-17

  • yolo-v4-tf.keras

    A simple tf.keras implementation of YOLO v4

    Project mention: Image classification using yolo | reddit.com/r/deeplearning | 2022-06-19

    Example : https://github.com/taipingeric/yolo-v4-tf.keras

  • Gradient-Centralization-TensorFlow

    Instantly improve your training performance of TensorFlow models with just 2 lines of code!

    Project mention: How many epochs of constant loss (e.g. 0.6933) will cause you to try something else? | reddit.com/r/learnmachinelearning | 2022-04-13

  • checkmate

    Training neural networks in TensorFlow 2.0 with 5x less memory (by parasj)

  • evopose2d

    EvoPose2D is a two-stage human pose estimation model that was designed using neuroevolution. It achieves state-of-the-art accuracy on COCO.

  • backyard_birdbot

    This project is for a Twitter bot that monitors a bird feeder in my backyard. Any detected birds are identified and posted to Twitter.

  • pyradox

    State of the Art Neural Networks for Deep Learning

  • tf2multiagentrl

    Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x

  • rlalgorithms-tf2

    Packaged deep reinforcement learning algorithms in tensorflow 2.x

    Project mention: I need suggestions to improve my project | reddit.com/r/github | 2021-09-06

    Hello everyone, I published my python project a month ago, it's a command line interface for training, tuning and reusing reinforcement learning algorithms in tensorflow 2.x. It's similar to stable-baselines, tf-agents, and not so many others. It seems like it's not getting enough attention despite the README, license, and everything else.

  • tf2-published-models

    Sarus implementation of classical ML models. The models are implemented using the Keras API of tensorflow 2. Vizualization are implemented and can be seen in tensorboard.

    Project mention: Launch HN: Sarus (YC W22) – Work on sensitive data with differential privacy | news.ycombinator.com | 2022-03-17

    - https://github.com/sarus-tech/tf2-published-models

    We plan to continue building trust in the tools we are using by publishing some of them.

  • Spectrum

    Spectrum is an AI that uses machine learning to generate Rap song lyrics (by YigitGunduc)

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 2022-06-19.

Python Tensorflow2 related posts

Index

What are some of the best open-source Tensorflow2 projects in Python? This list will help you:

Project Stars
1 Machine-Learning-Collection 3,734
2 TensorFlowTTS 2,749
3 spektral 2,104
4 super-resolution 1,242
5 doctr 1,110
6 yolo-tf2 747
7 ydata-synthetic 691
8 DeepRL-TensorFlow2 465
9 Deep-SORT-YOLOv4 438
10 metrabs 217
11 CARLA 169
12 Mask-RCNN-TF2 158
13 quickai 139
14 yolo-v4-tf.keras 107
15 Gradient-Centralization-TensorFlow 99
16 checkmate 96
17 evopose2d 79
18 backyard_birdbot 65
19 pyradox 60
20 tf2multiagentrl 46
21 rlalgorithms-tf2 45
22 tf2-published-models 40
23 Spectrum 37
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