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59 search results found

Superduperdb ⭐ 3,924

🔮 SuperDuperDB: Bring AI to your database! Build, deploy and manage any AI application directly with your existing data infrastructure, without moving your data. Including streaming inference, scalable model training and vector search.

Kserve ⭐ 3,372

Standardized Serverless ML Inference Platform on Kubernetes

Hyperlearn ⭐ 1,387

2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

Traingenerator ⭐ 1,184

🧙 A web app to generate template code for machine learning

Capsgnn ⭐ 1,180

A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).

Lambda Packs ⭐ 1,100

Precompiled packages for AWS Lambda

Ai_quant_trade ⭐ 819

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、因子挖掘、传统策略、机器学习

A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).

Graphwaveletneuralnetwork ⭐ 501

A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)

Sklearn Evaluation ⭐ 447

Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.

Attentionwalk ⭐ 299

A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).

A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).

Textclassificationimplement ⭐ 242

’达观杯‘文本智能处理挑战赛，文本分类任务的实现，包括一些传统的监督学习算法和深度学习算法，主要基于

Mnist_tutorial ⭐ 222

A tutorial for MNIST handwritten digit classification using sklearn, PyTorch and Keras.

Fenchel Young Losses ⭐ 182

Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses

Bert Sklearn ⭐ 119

a sklearn wrapper for Google's BERT model

Traditional Machine Learning Models for Large-Scale Datasets in PyTorch.

Metadata store for Production ML

Awesome Article Recomm ⭐ 79

优质博文推荐计划

Awesome Python Machine Learning Resources ⭐ 77

a collection of awesome machine learning and deep learning Python libraries&tools. 热门实用机器学习和深入学习Python库和工具的集合

A PyTorch Implementation of "SINE: Scalable Incomplete Network Embedding" (ICDM 2018).

Fast, flexible name matching for large datasets

Examples ⭐ 60

📝 Examples of how to use Neptune for different use cases and with various MLOps tools

Machine Learning ⭐ 56

Machine Learning for Social Scientists

Datascience365 ⭐ 47

Cracking Kaggle Competitions ⭐ 40

Different approaches for different Classical Machine Learning, and NLP competitions from Kaggle.

Deploy and Monitor ML Model in Any Cloud

Ml Based Network Traffic Classifier ⭐ 35

Network traffic classifier based on machine learning algorithms

An AI Assistant More Than a Toolkit

100 Days Of Ml Code ⭐ 31

A 100 Day ML Challenge to learn and implement ML/DL concepts ranging from the basics of Machine Learning to advanced Deep Learning.

Pmf Automl ⭐ 27

Data and code related to the paper "Probabilistic matrix factorization for automated machine learning", NIPS, 2018.

Trt_pose_hand ⭐ 24

Real-time hand pose estimation and gesture classification using TensorRT

Utils and modules for Speech Language and Multimodal processing using pytorch and pytorch lightning

Computer Vision Action ⭐ 18

computer vision learning, include python machine learning action; computer vision based on deep learning ;coursera deeplearning.ai and other cv learning materials collect ...

Create real-time BCI's with the LSL, PyTorch, SKLearn and TensorFlow packages.

Resolutions 2019 ⭐ 16

A list of data mining and machine learning papers that I implemented in 2019.

Repository for Disease Progression Modeling workbench 360 - An end-to-end deep learning model training framework in python on OMOP data

Data Science Notebooks ⭐ 15

Jupyter notebooks, accompanying the FinDS Python repo: contains code examples and results for 30+ financial data science projects

Financial Data Science ⭐ 14

Financial and Investment Data Science: FinDS Python library and examples for applying quantitative and machine learning methods on structured and unstructured financial data sets

An efficient Python toolkit for Abductive Learning (ABL), a novel paradigm that integrates machine learning and logical reasoning in a unified framework.

Machinelearning_notebook ⭐ 12

Notebooks for machine learning

Radtorch ⭐ 11

Official repository for RADTorch - The Medical Imaging Machine Learning Framework

Stackup Workshops ⭐ 11

Repository for Stackup Workshop content

Param Opt ⭐ 9

本项目开发了一个机器学习和深度学习的训练工具。该训练工具基于sklearn和pytorch，不仅支持

Meanshiftclustering ⭐ 9

Implement mean shift cluster from numpy + sklearn + GPU-pytorch

Traintool ⭐ 9

🔧 Train off-the-shelf machine learning models in one line of code

Mlprojects ⭐ 8

Some of my ML projects and Kaggle competitions

Machine learning utilities for model conversion, serialization, loading etc

Definition_extraction ⭐ 8

Ai Ml Jupyter Notebooks ⭐ 8

A collection of Jupyter notebooks for AI and ML tasks. Explore, learn, and contribute to advance your skills in artificial intelligence and machine learning. #Hacktoberfest friendly!

Repo for practical data science problems approaches, including notebook demo and working scripts | #DS | #analysis

Awesome Ai Cheatsheets ⭐ 7

AI与数据科学各类工具库速查表与参考代码

Text Classification ⭐ 7

🦑 中文文本分类（支持 API 部署）

Full Stack Data Science ⭐ 7

Full stack Data science : How to become a data scientist

Fudanuniversity Machinelearning ⭐ 6

2020 Spring Fudan University Machine Learning Course HW by prof. Chen Qin. 复旦大学大数据学院2020年春季课程-人工智能与机器学习（DATA620006）

Starting with Bi-Directional LSTMS

TanD - Train and Deploy is a no-code framework to automatize the Machine Learning workflow.

基于Pytorch框架深度学习相关代码

Statistics_model ⭐ 5

统计学系模型实现

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