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804 search results found

Keras Mmoe ⭐ 529

A TensorFlow Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)

Neptune Client ⭐ 518

📘 The MLOps stack component for experiment tracking

Hyperband ⭐ 515

Tuning hyperparams fast with Hyperband

Keras2cpp ⭐ 515

This is a bunch of code to port Keras neural network model into pure C++.

QKeras: a quantization deep learning library for Tensorflow Keras

Nmt Keras ⭐ 514

Neural Machine Translation with Keras

Torchview ⭐ 508

torchview: visualize pytorch models

Food Recipe Cnn ⭐ 502

food image to recipe with deep convolutional neural networks.

Một cuốn sách về Học Sâu đề cập đến nhiều framework phổ biến, được sử dụng trên 300 trường Đại học từ 55 đất nước bao gồm MIT, Stanford, Harvard, và Cambridge.

Hyperactive ⭐ 475

An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.

Code_search ⭐ 474

Code For Medium Article: "How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning"

Onnx2tf ⭐ 461

Self-Created Tools to convert ONNX files (NCHW) to TensorFlow/TFLite/Keras format (NHWC). The purpose of this tool is to solve the massive Transpose extrapolation problem in onnx-tensorflow (onnx-tf). I don't need a Star, but give me a pull request.

Stock Market Prediction Web App Using Machine Learning And Sentiment Analysis ⭐ 460

Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation

Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals

Real Time Ml Project ⭐ 437

A curated list of applied machine learning and data science notebooks and libraries across different industries.

Capsnet ⭐ 422

CapsNet (Capsules Net) in Geoffrey E Hinton paper "Dynamic Routing Between Capsules" - State Of the Art

Machine_learning_tutorials ⭐ 421

Code, exercises and tutorials of my personal blog ! 📝

Keras Text ⭐ 417

Text Classification Library in Keras

Implementation of Apple's Learning from Simulated and Unsupervised Images through Adversarial Training

RMDL: Random Multimodel Deep Learning for Classification

Emotion Recognition Using Speech ⭐ 392

Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras

Deepposekit ⭐ 379

a toolkit for pose estimation using deep learning

Change Detection Review ⭐ 352

A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.

Tensorlayer Tricks ⭐ 351

How to use TensorLayer

Emotion Classification From Audio Files ⭐ 340

Understanding emotions from audio files using neural networks and multiple datasets.

Modelstore ⭐ 334

🏬 modelstore is a Python library that allows you to version, export, and save a machine learning model to your filesystem or a cloud storage provider.

Deep Learning ⭐ 333

深度学习/人工智能/机器学习资料汇总(Deep Learning/Artificial Intelligent/Machine Learning) 持续更新……

Emlearn ⭐ 327

Machine Learning inference engine for Microcontrollers and Embedded devices

Issue Label Bot ⭐ 313

Code For The Issue Label Bot, an App that automatically labels issues using machine learning, available on the GitHub Marketplace. This is also code for the blog article: "How to automate tasks on GitHub with machine learning for fun and profit"

Thesemicolon ⭐ 312

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.

Scalecast ⭐ 292

The practitioner's forecasting library

Libfaceid ⭐ 290

libfaceid is a research framework for prototyping of face recognition solutions. It seamlessly integrates multiple detection, recognition and liveness models w/ speech synthesis and speech recognition.

Handson Ml2 ⭐ 287

핸즈온 머신러닝 2/E의 주피터 노트북

Deepvoice ⭐ 278

Deep Voice: Real-time Neural Text-to-Speech

Chexnet Keras ⭐ 277

This project is a tool to build CheXNet-like models, written in Keras.

Data Science ⭐ 269

Projects and awesome list for all Data Science fields

Machine Learning ⭐ 264

my machine-learning tutorial

🧠 A tool that makes AI easier.

A framework for multi-agent reinforcement learning.

Bitcoinforecast ⭐ 258

Predict bitcoin price with deep learning

Deephyper ⭐ 253

DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks

Eye In The Sky ⭐ 248

Satellite Image Classification using semantic segmentation methods in deep learning

Keras Sharp ⭐ 248

An ongoing effort to port the Keras deep learning library to C#, supporting both TensorFlow and CNTK

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

Mead Baseline ⭐ 245

Deep-Learning Model Exploration and Development for NLP

Cnn_keras ⭐ 245

CNN | Keras/PyTorch | CAPTCHA recognition（卷积神经网络、Keras/PyTorch框架、验证码识别）

Kerasdeepspeech ⭐ 244

A Keras CTC implementation of Baidu's DeepSpeech for model experimentation

Ml Projects ⭐ 243

ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python

Gan Sandbox ⭐ 223

Vanilla GAN implemented on top of keras/tensorflow enabling rapid experimentation & research. Branches correspond to implementations of stable GAN variations (i.e. ACGan, InfoGAN) and other promising variations of GANs like conditional and Wasserstein.

Keras Gp ⭐ 219

Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.

Style_transfer ⭐ 212

CNN image style transfer 🎨.

Imageatm ⭐ 209

Image classification for everyone.

Semantic Embeddings ⭐ 206

Hierarchy-based Image Embeddings for Semantic Image Retrieval

Deep learning infrastructure for genomics

Scikeras ⭐ 204

Scikit-Learn API wrapper for Keras.

Seriesnet ⭐ 202

Time series prediction using dilated causal convolutional neural nets (temporal CNN)

Hg Mldl ⭐ 199

<혼자 공부하는 머신러닝+딥러닝>의 코드 저장소입니다.

Deep Learning With Python ⭐ 197

Deep learning codes and projects using Python

Deep Learning For Hackers ⭐ 196

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

Geospatial Machine Learning ⭐ 196

A curated list of resources focused on Machine Learning in Geospatial Data Science.

Deep Learning With Python Notebooks ⭐ 194

<케라스 창시자에게 배우는 딥러닝> 도서의 주피터 노트북

Identifying diabetic retinopathy using convolutional neural networks

Deepecg ⭐ 187

ECG classification programs based on ML/DL methods

Usiigaci ⭐ 187

Usiigaci: stain-free cell tracking in phase contrast microscopy enabled by supervised machine learning

Transfer Learning Suite ⭐ 185

Transfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!

Utilities for preprocessing text for deep learning with Keras

Hyperdash Sdk Py ⭐ 176

Official Python SDK for Hyperdash

Abnormal_event_detection ⭐ 172

Abnormal Event Detection in Videos using SpatioTemporal AutoEncoder

Keras Inception Resnet V2 ⭐ 167

The Inception-ResNet v2 model using Keras (with weight files)

Distributed Keras Engine, Make Keras faster with only one line of code.

Deepresearch ⭐ 166

This repository is the collection of research papers in Deep learning, computer vision and NLP.

A cleaner way to build neural networks for PyTorch.

Keras Metrics ⭐ 165

Metrics for Keras. DEPRECATED since Keras 2.3.0

Handson Ml2 Vn ⭐ 164

Jupyter Notebook cung cấp các kiến thức cơ bản về Học Máy và Học Sâu bằng Python với Scikit-Learn, Keras, và TensorFlow 2.

Dspp Keras ⭐ 160

Protein order and disorder data for Keras, Tensor Flow and Edward frameworks with automated update cycle made for continuous learning applications.

Shape Detection ⭐ 158

🟣 Object detection of abstract shapes with neural networks

Handwritten Digit Recognition Using Deep Learning ⭐ 158

Handwritten Digit Recognition using Machine Learning and Deep Learning

Ntu_hylee_machinelearning_homework ⭐ 156

作業分享：台大李宏毅 (Hung-Yi Lee) 教授的Machine Learning (2016, Fall)

Lacmus is a cross-platform application that helps to find people who are lost in the forest using computer vision and neural networks.

Keras_compressor ⭐ 152

Model Compression CLI Tool for Keras.

Showandtell ⭐ 149

A Show And Tell implementation for iOS 11.0 based on CoreML

Facelivenessdetection Sdk ⭐ 148

3D Passive Face Liveness Detection (Anti-Spoofing) & Deepfake detection. A single image is needed to compute liveness score. 99,67% accuracy on our dataset and perfect scores on multiple public datasets (NUAA, CASIA FASD, MSU...).

Gestureai Coreml Ios ⭐ 146

Hand-gesture recognition on iOS app using CoreML

Deep Viz Keras ⭐ 144

Implementations of some popular Saliency Maps in Keras

Tensordash ⭐ 139

TensorDash is an application that lets you remotely monitor your deep learning model's metrics and notifies you when your model training is completed or crashed.

Deeplearning.ai ⭐ 139

该存储库包含由deeplearning.ai提供的相关课程的个人的笔记和实现代码。

Kaggle Competition Favorita ⭐ 138

5th place solution for Kaggle competition Favorita Grocery Sales Forecasting

Deep Learning Resources ⭐ 138

A Collection of resources I have found useful on my journey finding my way through the world of Deep Learning.

Semanaly ⭐ 137

semantic analysis using word2vector, doc2vector,lstm and other method. mainly for text similarity analysis.

Qlik Py Tools ⭐ 132

Data Science algorithms for Qlik implemented as a Python Server Side Extension (SSE).

Fast Transformer ⭐ 132

An implementation of Fastformer: Additive Attention Can Be All You Need, a Transformer Variant in TensorFlow

Pytorch to Keras/Tensorflow conversion made intuitive

Comet Examples ⭐ 131

Examples of Machine Learning code using Comet.ml

Keras2cpp ⭐ 131

it's a small library for running trained Keras 2 models from a native C++ code.

Xcenternet ⭐ 131

Fast anchor free Object Detection based on CenterNet (Objects As Points) and TTFNet (Training-Time-Friendly Network). Implemented in TensorFlow 2.4+.

Kafka Ml ⭐ 131

Kafka-ML: connecting the data stream with ML/AI frameworks (now TensorFlow and PyTorch!)

Machine Learning Notes ⭐ 130

机器学习笔记

Gender Detection Keras ⭐ 127

Gender detection (from scratch) using deep learning with keras and cvlib.

Seq2seq_tutorial ⭐ 126

Code For Medium Article "How To Create Data Products That Are Magical Using Sequence-to-Sequence Models"

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