Technology · Framework
TensorFlow
Framework · Google · Catalog tech@1
Google's machine learning framework.
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- tensorflow
Momentum
Each signal is ranked as a percentile among the technologies that have it. A signal without enough history is not counted, and never shown as zero. How momentum works
Momentum
Collecting0 of 5 signalsNo score yet. Momentum is published only when at least 2 of the 5 signals have history. TensorFlow has 0, so there is no single number: each signal is shown on its own below. It is not a zero, and nothing is estimated in its place.
Snapshot OCT 24, 2026 · Scoring tech@1
- Official repository stars
- Collecting
- Star growth needs repository snapshots 30 days apart.200,659 stars now
- Member repository stars
- Collecting
- Star growth needs repository snapshots 30 days apart.0 new members in 30 days
- Package adoption
- Collecting
- Adoption growth needs two observations of its own packages about 30 days apart.
- Open models
- No official models
- No official model on Hugging Face, so this signal does not apply.
- News
- Collecting
- News counts once there are 3 events across the last 60 days; it has 0.0 in the last 30 days · 0 in the 30 before
Adoption by registry
The growth of TensorFlow’s own packages, one row per registry in that registry’s own unit. Registries count different things over different windows, so they are never added together.
No registry has two observations of TensorFlow’s own packages about 30 days apart yet, so there is no growth to show. Nothing is estimated in its place.
News activity
- Events · 7 days
- 0published events that mention it
- Events · 30 days
- 0published events that mention it
- Previous 30 days
- 0events in the 30 days before
Momentum history
Momentum history starts OCT 8, 2026. A chart appears once two daily snapshots carry a score; none does so far.
Repositories
Official 1
- tensorflow/tensorflow
An Open Source Machine Learning Framework for Everyone
200.7K stars
Members 337repositories tagged with one of its aliases, most-starred first
- DengBoCong/nlp-paper
自然语言处理领域下的相关论文（附阅读笔记），复现模型以及数据处理等（代码含TensorFlow和PyTorch两版本）
1.3K stars
- ahmetozlu/tensorflow_object_counting_api
🚀 The TensorFlow Object Counting API is an open source framework built on top of TensorFlow and Keras that makes it easy to develop object counting systems!
1.3K stars
- onnx/onnx-tensorflow
Tensorflow Backend for ONNX
1.3K stars
- CSTR-Edinburgh/merlin
This is now the official location of the Merlin project.
1.3K stars
- bamos/dcgan-completion.tensorflow
Image Completion with Deep Learning in TensorFlow
1.3K stars
- mit-han-lab/data-efficient-gans
[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training
1.3K stars
- datitran/object_detector_app
Real-Time Object Recognition App with Tensorflow and OpenCV
1.3K stars
- jfkirk/tensorrec
A TensorFlow recommendation algorithm and framework in Python.
1.3K stars
- hunkim/word-rnn-tensorflow
Multi-layer Recurrent Neural Networks (LSTM, RNN) for word-level language models in Python using TensorFlow.
1.3K stars
- BishopFox/eyeballer
Convolutional neural network for analyzing pentest screenshots
1.3K stars
- chonyy/AI-basketball-analysis
:basketball::robot::basketball: AI web app and API to analyze basketball shots and shooting pose.
1.3K stars
- charlesXu86/Chatbot_CN
基于金融-司法领域(兼有闲聊性质)的聊天机器人，其中的主要模块有信息抽取、NLU、NLG、知识图谱等，并且利用Django整合了前端展示,目前已经封装了nlp和kg的restful接口
1.3K stars
Packages
“Is” packages are TensorFlow itself; ecosystem packages depend on them. The two are counted separately and never added together. Adoption is each registry’s own figure, with its percentile within that registry.
Is 6the technology itself, most-adopted first
- 390importing packagesTop 50% on Go
- tensorflow
TensorFlow is an open source machine learning framework for everyone.
Not published by PyPI - tensorflow-aarch64
TensorFlow is an open source machine learning framework for everyone.
Not published by PyPI - tensorflow-cpu
TensorFlow is an open source machine learning framework for everyone.
Not published by PyPI - tensorflow-cpu-aws
TensorFlow is an open source machine learning framework for everyone.
Not published by PyPI - tf-nightly
TensorFlow is an open source machine learning framework for everyone.
Not published by PyPI
Ecosystem 45packages that depend on it, most-adopted first
- innvestigate
A toolbox to innvestigate neural networks' predictions.
Not published by PyPI - mmm-proto-schema
A Meridian submodule for MMM model representation in protobuf form.
Not published by PyPI - neural-compressor-tf
Repository of Intel® Neural Compressor
Not published by PyPI - omnizart
Omniscient Mozart, being able to transcribe everything in the music.
Not published by PyPI - orion-ml
Orion is a machine learning library built for unsupervised time series anomaly detection.
Not published by PyPI - plexe
An agentic framework for building ML models from natural language
Not published by PyPI - rasa
Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
Not published by PyPI - retina-face
RetinaFace: Deep Face Detection Framework in TensorFlow, PyTorch and ONNX for Python
Not published by PyPI - secretflow
SecretFlow
Not published by PyPI - spektral
Graph Neural Networks with Keras and TensorFlow.
Not published by PyPI - spleeter
The Deezer source separation library with pretrained models based on tensorflow.
Not published by PyPI - spleeter-thomasesr
Community fork of Deezer spleeter — TensorFlow 2.17, Python 3.10-3.12, Keras-based inference (v3.0.0-alpha).
Not published by PyPI
Latest news the 0 latest events that mention it
No published news event mentions TensorFlow yet.