Technology · Library
Keras
Library · Catalog tech@1
High-level deep learning API.
- Categories
- Matched as
- keras
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. Keras 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.64,346 stars now
- Member repository stars
- Collecting
- Star growth needs repository snapshots 30 days apart.0 new members in 30 days
- Package adoption
- Not published by its registries
- Its packages’ registries publish no adoption figure, so there is nothing to grow.
- 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 1.1 in the last 30 days · 0 in the 30 before
Adoption by registry
The growth of Keras’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 Keras’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
- 1published 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
- keras-team/keras
Deep Learning for humans
64.3K stars
Members 108repositories tagged with one of its aliases, most-starred first
- lutzroeder/netron
Visualizer for neural network, deep learning and machine learning models
33.5K stars
- tqdm/tqdm
:zap: A Fast, Extensible Progress Bar for Python and CLI
31.4K stars
- d2l-ai/d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
29.7K stars
- donnemartin/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.
29.4K stars
- matterport/Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
25.6K stars
- Tencent/ncnn
ncnn is a high-performance neural network inference framework optimized for the mobile platform
23.9K stars
- onnx/onnx
Open standard for machine learning interoperability
21.6K stars
- emilwallner/Screenshot-to-code
A neural network that transforms a design mock-up into a static website.
16.5K stars
- kailashahirwar/cheatsheets-ai
Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5
15.4K stars
- tangyudi/Ai-Learn
人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域
13.4K stars
- wandb/wandb
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
11.3K stars
- vipstone/faceai
一款入门级的人脸、视频、文字检测以及识别的项目.
11.1K stars
Packages
“Is” packages are Keras 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 5the technology itself, most-adopted first
- keras
Multi-backend Keras
Not published by PyPI - keras-hub
Pretrained models for Keras.
Not published by PyPI - keras-hub-nightly
Pretrained models for Keras.
Not published by PyPI - keras-nightly
Multi-backend Keras
Not published by PyPI - keras-nlp
Pretrained models for Keras.
Not published by PyPI
Ecosystem 15packages that depend on it, most-adopted first
- autokeras
AutoML for deep learning
Not published by PyPI - deepface
A Lightweight Face Recognition and Facial Attribute Analysis Framework (Age, Gender, Emotion, Race) for Python
Not published by PyPI - deepface-fork
A Lightweight Face Recognition and Facial Attribute Analysis Framework (Age, Gender, Emotion, Race) for Python
Not published by PyPI - deepfacesnap
A Lightweight Face Recognition and Facial Attribute Analysis Framework (Age, Gender, Emotion, Race) for Python
Not published by PyPI - keras-tuner
A Hyperparameter Tuning Library for Keras
Not published by PyPI - neural-compressor-jax
Repository of Intel® Neural Compressor
Not published by PyPI - pkscreener
A Python-based stock screener for NSE, India with alerts to Telegram Channel (pkscreener)
Not published by PyPI - plexe
An agentic framework for building ML models from natural language
Not published by PyPI - scikeras
Scikit-Learn API wrapper for Keras.
Not published by PyPI - 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
Latest news the latest event that mention it
- 21d agoOCT 3, 2026