Keras

Top 23 Kera Open-Source Projects

  • tqdm

    :zap: A Fast, Extensible Progress Bar for Python and CLI

    Project mention: FLaNK-AIM: 20 May 2024 Weekly | dev.to | 2024-05-20
  • Scout Monitoring

    Free Django app performance insights with Scout Monitoring. Get Scout setup in minutes, and let us sweat the small stuff. A couple lines in settings.py is all you need to start monitoring your apps. Sign up for our free tier today.

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  • netron

    Visualizer for neural network, deep learning and machine learning models

    Project mention: Essential Deep Learning Checklist: Best Practices Unveiled | dev.to | 2024-06-17

    How to Accomplish: Use architecture visualization tools like NETRON or TensorBoard to inspect the model architecture. These tools provide a graphical representation of the model, making it easier to understand its structure and parameter count. Adjust the model complexity based on performance benchmarks and resource constraints, aiming for the simplest model that achieves the desired performance.

  • 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: Intuituvely Understanding Harris Corner Detector | news.ycombinator.com | 2023-09-11

    The most widely used algorithms for classical feature detection today are "whatever opencv implements"

    In terms of tech that's advancing at the moment? https://co-tracker.github.io/ if you want to track individual points, https://github.com/matterport/Mask_RCNN and its descendents if you want to detect, say, the cover of a book.

  • 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.

  • ncnn

    ncnn is a high-performance neural network inference framework optimized for the mobile platform

    Project mention: AMD Funded a Drop-In CUDA Implementation Built on ROCm: It's Open-Source | news.ycombinator.com | 2024-02-12

    ncnn uses Vulkan for GPU acceleration, I've seen it used in a few projects to get AMD hardware support.

    https://github.com/Tencent/ncnn

  • best-of-ml-python

    šŸ† A ranked list of awesome machine learning Python libraries. Updated weekly.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • horovod

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

  • Keras-GAN

    Keras implementations of Generative Adversarial Networks.

  • autokeras

    AutoML library for deep learning

  • wandb

    šŸ”„ A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.

    Project mention: 10 Open Source Tools for Building MLOps Pipelines | dev.to | 2024-06-06

    Weights and Biases (W&B) ****is a tool for visualizing and tracking machine learning experiments. It supports major machine learning frameworks such as TensorFlow and PyTorch. Its key features include:

  • einops

    Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

    Project mention: NumPy 2.0.0 | news.ycombinator.com | 2024-06-16

    https://einops.rocks/#why-use-einops-notation

  • techniques

    Techniques for deep learning with satellite & aerial imagery

  • BigDL

    Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, Baichuan, Mixtral, Gemma, Phi, etc.) on Intel CPU and GPU (e.g., local PC with iGPU, discrete GPU such as Arc, Flex and Max); seamlessly integrate with llama.cpp, Ollama, HuggingFace, LangChain, LlamaIndex, DeepSpeed, vLLM, FastChat, Axolotl, etc.

    Project mention: LLaMA Now Goes Faster on CPUs | news.ycombinator.com | 2024-03-31

    Any performance benchmark against intel's 'IPEX-LLM'[0] or others?

    [0] - https://github.com/intel-analytics/ipex-llm

  • Practical_RL

    A course in reinforcement learning in the wild

  • 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.

  • t81_558_deep_learning

    T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis

  • keras-rl

    Deep Reinforcement Learning for Keras.

  • sketch-code

    Keras model to generate HTML code from hand-drawn website mockups. Implements an image captioning architecture to drawn source images.

  • Keras.js

    Run Keras models in the browser, with GPU support using WebGL

  • textgenrnn

    Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.

  • segmentation_models

    Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

    Project mention: Instance segmentation of small objects in grainy drone imagery | /r/computervision | 2023-12-09

    Also, Iā€™d suggest considering switching to the segmentation-models library - it provides U-Net models with a variety of pretrained backbones of as encoders. The author also put out a PyTorch version. https://github.com/qubvel/segmentation_models.pytorch https://github.com/qubvel/segmentation_models

  • image-super-resolution

    šŸ”Ž Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

  • SaaSHub

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

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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).

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Index

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

Project Stars
1 tqdm 27,958
2 netron 26,869
3 data-science-ipython-notebooks 26,723
4 Mask_RCNN 24,394
5 d2l-en 22,504
6 ncnn 19,743
7 best-of-ml-python 16,048
8 horovod 14,065
9 Keras-GAN 9,154
10 autokeras 9,103
11 wandb 8,590
12 einops 8,161
13 techniques 8,086
14 BigDL 6,265
15 Practical_RL 5,816
16 MMdnn 5,782
17 t81_558_deep_learning 5,688
18 keras-rl 5,498
19 sketch-code 5,086
20 Keras.js 4,961
21 textgenrnn 4,943
22 segmentation_models 4,659
23 image-super-resolution 4,555

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