Keras Ecosystem

ncnn

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

netron

Visualizer for neural network, deep learning and machine learning models

MMdnn

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks

Mask_RCNN

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions

horovod

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

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

tqdm

A Fast, Extensible Progress Bar for Python and CLI

wandb

The AI developer platform

onnx

Open standard for machine learning interoperability

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

einops

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

best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries

determined

Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management

Deep-Learning-in-Production

In this repository, I will share some useful notes and references about deploying deep learning-based models in production

TensorFlow.NET

imgclsmob

Sandbox for training deep learning networks

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers https://medium

keras-rl

Deep Reinforcement Learning for Keras

keras-ocr

A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model

AdEMAMix-Optimizer-Keras

A Keras 3 Implementation of AdEMAMix Optimizer

Federated-Learning-Simulation-1GPU-MI-IS

Federated Learning Simulation on a Single GPU with Model Interpretability and Interactive Visualization

Practicing-deep-learning

with keras data set we load a data base and train our machine for test

Machine-Learning-and-AI

Personal tasks or codes of Machine Learning and Artificial Intelligence

deep-learning-for-training

Analysi hear disease data set with deep learning

Tweet-Sentimental-Analysis

A deep learning project for sentiment analysis on tweets, classifying them into positive, negative, or neutral sentiments

vae-explainer

Interactive Variational Autoencoder (VAE)

Brain-Tumours-Classification-CNN

Predict Brain tumors (glioma, meningioma & pituitary) Using a Convolutional Neural Network

Potato-Disease-Classification

Potato Disease Classification - Training, Rest APIs, and Frontend to test

Forecasting-Electricity-by-Hour-RNN-vs-LSTM

Explore the Production and Consumption of Electricity produced by different types of energy sources and build an RNN and LSTM to forecast them

Medicinal-Plants-Detection-Using-Deep-Learning

Identification of Medicinal Plants Using Xception

DDO-Semiconductor

Data-Driven Optimization of Semiconductor Processes and Forecasting

Solar-Panel-Fault-Detection

Plant-Disease-Detection-App

A beginner level plant disease detection model

Price-Prediction

Implemented a predictive model for market prices leveraging deep learning techniques

block-ml

Rapid and easy prototyping, design, and deployment of ML models with graphical blocks

Note_rl

Reinforcement learning library for Keras and PyTorch

Image-Classification-WebApp

This project features an AI model for diagnosing pneumonia from chest X-ray images

Text_Emotion_Classifier

A 𝗧𝗲𝘅𝘁 𝗘𝗺𝗼𝘁𝗶𝗼𝗻 𝗖𝗹𝗮𝘀𝘀𝗶𝗳𝗶𝗲𝗿 is an AI model that analyzes text to detect and classify emotions like 𝗵𝗮𝗽𝗽𝗶𝗻𝗲𝘀𝘀 😊, 𝘀𝗮𝗱𝗻𝗲𝘀𝘀 😢, 𝗮𝗻𝗴𝗲𝗿 😠, and 𝘀𝘂𝗿𝗽𝗿𝗶𝘀𝗲 😲

deep-learning-noticias

Este projeto visa construir dois modelos de Machine Learning: um para classificar notícias em diferentes categorias e outro para realizar o autocomplete de texto, prevendo a próxima palavra em uma frase