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nextcloud / suspicious_login
PHP 0 0
Detect and warn about suspicious IPs logging into Nextcloud
machine-learning deep-learning security nextcloud-app intrusion-detection privacy
Обновлено 2024-09-07 16:25:35 +03:00
microsoft / SynapseML
Scala 0 0
Simple and Distributed Machine Learning
azure microsoft machine-learning deep-learning ai data-science opencv ml cognitive-services spark http big-data lightgbm databricks onnx apache-spark pyspark scala model-deployment synapse
Обновлено 2024-09-07 07:25:44 +03:00
microsoft / LightGBM
C++ 0 0
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
machine-learning microsoft python distributed data-mining decision-trees gbdt gbm gbrt gradient-boosting kaggle lightgbm parallel r
Обновлено 2024-09-07 02:24:59 +03:00
microsoft / DeepSpeed
Python 0 0
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
machine-learning deep-learning pytorch gpu compression billion-parameters data-parallelism inference mixture-of-experts model-parallelism pipeline-parallelism trillion-parameters zero
Обновлено 2024-09-07 00:48:18 +03:00
mozilla / bugbug
Python 0 0
Platform for Machine Learning projects on Software Engineering
hacktoberfest machine-learning software-engineering
Обновлено 2024-09-07 00:21:14 +03:00
microsoft / onnxruntime
C++ 0 0
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
machine-learning deep-learning pytorch tensorflow neural-networks scikit-learn ai-framework hardware-acceleration onnx
Обновлено 2024-09-06 21:52:20 +03:00
microsoft / recommenders
Python 0 0
Best Practices on Recommendation Systems
azure microsoft machine-learning python deep-learning kubernetes data-science artificial-intelligence jupyter-notebook tutorial operationalization ranking rating recommendation recommendation-algorithm recommendation-engine recommendation-system recommender
Обновлено 2024-09-06 10:53:41 +03:00
microsoft / FLAML
Jupyter Notebook 0 0
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
machine-learning deep-learning data-science python automated-machine-learning natural-language-processing hyperparameter-optimization automl jupyter-notebook timeseries-forecasting tuning classification finetuning hyperparam natural-language-generation random-forest regression scikit-learn tabular-data
Обновлено 2024-09-06 07:00:13 +03:00
microsoft / vscode-jupyter
JavaScript 0 0
VS Code Jupyter extension
machine-learning vscode vscode-extension jupyter datascience
Обновлено 2024-09-05 19:57:16 +03:00
dotnet / infer
C# 0 0
Infer.NET is a framework for running Bayesian inference in graphical models
machine-learning bayesian-inference
Обновлено 2024-09-05 02:51:09 +03:00
Unity-Technologies / ml-agents
C# 0 0
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.
unity machine-learning unity3d deep-learning reinforcement-learning neural-networks deep-reinforcement-learning
Обновлено 2024-09-04 16:23:04 +03:00
microsoft / OCR-Form-Tools
TypeScript 0 0
A set of tools to use in Microsoft Azure Form Recognizer and OCR services.
machine-learning typescript machine-learning-algorithms rpa form-recognizer labeling-tool ocr-form-labeling
Обновлено 2024-09-04 06:49:14 +03:00
mozilla / DeepSpeech
C++ 0 0
DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
machine-learning deep-learning tensorflow neural-networks embedded speech-recognition deepspeech offline on-device speech-to-text
Обновлено 2024-09-04 00:17:43 +03:00
microsoft / CameraTraps
Jupyter Notebook 0 0
To gain access, please finish setting up this repository now at: https://repos.opensource.microsoft.com/microsoft/wizard?existingreponame=CameraTraps&existingrepoid=152634113
machine-learning computer-vision aiforearth conservation wildlife camera-traps
Обновлено 2024-09-03 21:25:01 +03:00
microsoft / hi-ml
Python 0 0
HI-ML toolbox for deep learning for medical imaging and Azure integration
azure machine-learning python deep-learning ai ml azureml mlops healthcare health
Обновлено 2024-09-03 14:16:21 +03:00
microsoft / qlib
Python 0 0
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.
machine-learning deep-learning python platform research finance algorithmic-trading auto-quant fintech investment paper quant quant-dataset quant-models quantitative-finance quantitative-trading research-paper stock-data
Обновлено 2024-09-03 13:09:15 +03:00
dotnet / machinelearning
C# 0 0
ML.NET is an open source and cross-platform machine learning framework for .NET.
dotnet algorithms machine-learning ml
Обновлено 2024-09-03 00:03:10 +03:00
microsoft / EconML
Jupyter Notebook 0 0
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
machine-learning causal-inference causality econometrics economics treatment-effects
Обновлено 2024-09-02 22:50:34 +03:00
microsoft / ML-For-Beginners
Jupyter Notebook 0 0
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
machine-learning python data-science ml scikit-learn r machine-learning-algorithms machinelearning education scikit-learn-python machinelearning-python
Обновлено 2024-08-31 08:16:34 +03:00
microsoft / AI-For-Beginners
Jupyter Notebook 0 0
12 Weeks, 24 Lessons, AI for All!
machine-learning deep-learning computer-vision ai artificial-intelligence cnn nlp rnn gan
Обновлено 2024-08-31 02:58:02 +03:00
microsoft / dowhy
Python 0 0
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
machine-learning data-science causal-inference causality treatment-effects bayesian-networks causal-machine-learning causal-models do-calculus graphical-models python3
Обновлено 2024-08-29 21:13:51 +03:00
microsoft / hummingbird
Python 0 0
Hummingbird compiles trained ML models into tensor computation for faster inference.
machine-learning pytorch neural-networks scikit-learn tensor-computation
Обновлено 2024-08-23 12:06:25 +03:00
microsoft / ORBIT-Dataset
Python 0 0
The ORBIT dataset is a collection of videos of objects in clean and cluttered scenes recorded by people who are blind/low-vision on a mobile phone. The dataset is presented with a teachable object recognition benchmark task which aims to drive few-shot learning on challenging real-world data.
microsoft machine-learning computer-vision video benchmark dataset classification few-shot-learning meta-learning object-recognition
Обновлено 2024-08-13 03:27:45 +03:00
github / codespaces-jupyter
Jupyter Notebook 0 0
Explore machine learning and data science with Codespaces
machine-learning data-science codespaces jupyter-notebook
Обновлено 2024-08-12 16:11:43 +03:00
Azure / MachineLearningNotebooks
Jupyter Notebook 0 0
Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft
azure machine-learning deep-learning data-science azure-machine-learning azureml azure-ml notebook
Обновлено 2024-08-08 18:36:05 +03:00
microsoft / presidio-research
Python 0 0
This package features data-science related tasks for developing new recognizers for Presidio. It is used for the evaluation of the entire system, as well as for evaluating specific PII recognizers or PII detection models.
machine-learning deep-learning nlp natural-language-processing privacy ner transformers pii named-entity-recognition spacy flair
Обновлено 2024-08-07 19:17:23 +03:00
microsoft / responsible-ai-toolbox
TypeScript 0 0
Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.
machine-learning data-science ml visualization jupyter data-visualization ui machinelearning widgets data-analysis explainable-ai explainable-ml fairness-ai fairness-ml interpretability fairness responsible-ai explainability widget error-analysis
Обновлено 2024-08-07 04:34:48 +03:00
microsoft / responsible-ai-widgets
TypeScript 0 0
Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.
machine-learning data-science jupyter ml ui explainable-ai explainable-ml fairness fairness-ai fairness-ml interpretability machinelearning responsible-ai visualization widget widgets data-analysis data-visualization error-analysis explainability
Обновлено 2024-08-07 04:34:48 +03:00
microsoft / finnts
R 0 0
Microsoft Finance Time Series Forecasting Framework (FinnTS) is a forecasting package that utilizes cutting-edge time series forecasting and parallelization on the cloud to produce accurate forecasts for financial data.
microsoft machine-learning deep-learning data-science r finance time-series forecasting business finnts r-package rstats
Обновлено 2024-08-05 18:19:32 +03:00
microsoft / nn-Meter
PureBasic 0 0
A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.
machine-learning python deep-learning pytorch neural-architecture-search deep-neural-networks edge-computing latency inference edge-ai efficient-model onnx-models tensorflow-models
Обновлено 2024-07-31 00:16:53 +03:00