#Keras
Showing 60 of 590 repositories tagged #keras, ranked by stars
Visualizer for neural network, deep learning and machine learning models
:zap: A Fast, Extensible Progress Bar for Python and CLI
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.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
ncnn is a high-performance neural network inference framework optimized for the mobile platform
100-Days-Of-ML-Code中文版
Open standard for machine learning interoperability
A neural network that transforms a design mock-up into a static website.
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
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
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
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
一款入门级的人脸、视频、文字检测以及识别的项目.
AutoML library for deep learning
Keras implementations of Generative Adversarial Networks.
A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统
A course in reinforcement learning in the wild
Setup and customize deep learning environment in seconds.
股票AI操盘手：从学习、模拟到实盘，一站式平台。包含股票知识、策略实例、大模型、因子挖掘、传统策略、机器学习、深度学习、强化学习、图网络、高频交易、C++部署和聚宽实例代码等，可以方便学习、模拟及实盘交易
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: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
Deep Reinforcement Learning for Keras.
Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained deep learning models from TensorFlow, Keras, TensorFlow.js
Keras model to generate HTML code from hand-drawn website mockups. Implements an image captioning architecture to drawn source images.
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
Run Keras models in the browser, with GPU support using WebGL
Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
TensorFlow Basic Tutorial Labs
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
Model summary in PyTorch similar to `model.summary()` in Keras
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.
A high performance and generic framework for distributed DNN training
AI Infra / AI Orchestration / AI Control Plane
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
Open source hardware and software platform to build a small scale self driving car.
.NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C# and F#.
The convertor/conversion of deep learning models for different deep learning frameworks/softwares.
Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
Sandbox for training deep learning networks
Neural network visualization toolkit for keras
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
Introduction to Deep Neural Networks with Keras and Tensorflow
View model summaries in PyTorch!
A Hyperparameter Tuning Library for Keras
Deep learning driven jazz generation using Keras & Theano!
验证码识别
Keras Attention Layer (Luong and Bahdanau scores).
Deep neural network to extract intelligent information from invoice documents.
Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX
Scenarios, tutorials and demos for Autonomous Driving
Türkiye'de yapılan derin öğrenme (deep learning) ve makine öğrenmesi (machine learning) çalışmalarının derlendiği sayfa.
Graph Neural Networks with Keras and Tensorflow 2.
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱
深度有趣