keras
There are 15578 repositories under keras topic.
tqdm/tqdm
:zap: A Fast, Extensible Progress Bar for Python and CLI
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.
lutzroeder/netron
Visualizer for neural network, deep learning and machine learning models
matterport/Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
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.
MLEveryday/100-Days-Of-ML-Code
100-Days-Of-ML-Code中文版
Tencent/ncnn
ncnn is a high-performance neural network inference framework optimized for the mobile platform
onnx/onnx
Open standard for machine learning interoperability
emilwallner/Screenshot-to-code
A neural network that transforms a design mock-up into a static website.
ml-tooling/best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
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
horovod/horovod
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
vipstone/faceai
一款入门级的人脸、视频、文字检测以及识别的项目.
eriklindernoren/Keras-GAN
Keras implementations of Generative Adversarial Networks.
keras-team/autokeras
AutoML library for deep learning
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
wandb/wandb
🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
arogozhnikov/einops
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
satellite-image-deep-learning/techniques
Techniques for deep learning with satellite & aerial imagery
nl8590687/ASRT_SpeechRecognition
A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统
ufoym/deepo
Setup and customize deep learning environment in seconds.
microsoft/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.
yandexdataschool/Practical_RL
A course in reinforcement learning in the wild
jeffheaton/t81_558_deep_learning
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
keras-rl/keras-rl
Deep Reinforcement Learning for Keras.
ashnkumar/sketch-code
Keras model to generate HTML code from hand-drawn website mockups. Implements an image captioning architecture to drawn source images.
tensorspace-team/tensorspace
Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained deep learning models from TensorFlow, Keras, TensorFlow.js
transcranial/keras-js
Run Keras models in the browser, with GPU support using WebGL
minimaxir/textgenrnn
Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.
qubvel/segmentation_models
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
Nyandwi/machine_learning_complete
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
idealo/image-super-resolution
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
zhixuhao/unet
unet for image segmentation
hunkim/DeepLearningZeroToAll
TensorFlow Basic Tutorial Labs
ahkarami/Deep-Learning-in-Production
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
PipelineAI/pipeline
PipelineAI