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Machine learning

Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.

https://github.com/xviniette/FlappyLearning

Program learning to play Flappy Bird by machine learning (Neuroevolution)

flappybird machine-learning neuroevolution

Last synced: 01 Nov 2024

https://github.com/openmlsys/openmlsys-zh

《Machine Learning Systems: Design and Implementation》- Chinese Version

computer-systems machine-learning software-architecture textbook

Last synced: 14 Oct 2024

https://github.com/xviniette/flappylearning

Program learning to play Flappy Bird by machine learning (Neuroevolution)

flappybird machine-learning neuroevolution

Last synced: 15 Oct 2024

https://github.com/azure/machinelearningnotebooks

Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft

azure azure-machine-learning azure-ml azureml data-science deep-learning machine-learning notebook

Last synced: 29 Oct 2024

https://github.com/openvenues/libpostal

A C library for parsing/normalizing street addresses around the world. Powered by statistical NLP and open geo data.

address address-parser c deduping deduplication international machine-learning natural-language-processing nlp record-linkage

Last synced: 14 Oct 2024

https://github.com/hudson-and-thames/mlfinlab

MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

algorithmic-trading finance financial-machine-learning investing machine-learning portfolio-management portfolio-optimization python quantitative-finance research trading

Last synced: 15 Oct 2024

https://github.com/marimo-team/marimo

A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.

artificial-intelligence data-science data-visualization developer-tools machine-learning notebooks pipeline python reactive web-app

Last synced: 15 Oct 2024

https://github.com/arxivtimes/arxivtimes

repository to research & share the machine learning articles

arxivtimes computer-vision machine-learning natural-language-processing reinforcement-learning

Last synced: 14 Oct 2024

https://github.com/arXivTimes/arXivTimes

repository to research & share the machine learning articles

arxivtimes computer-vision machine-learning natural-language-processing reinforcement-learning

Last synced: 06 Nov 2024

https://github.com/rapidsai/cuml

cuML - RAPIDS Machine Learning Library

cuda gpu machine-learning machine-learning-algorithms nvidia

Last synced: 15 Oct 2024

https://github.com/yahoo/TensorFlowOnSpark

TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.

cluster featured machine-learning python scala spark tensorflow yahoo

Last synced: 28 Oct 2024

https://github.com/yahoo/tensorflowonspark

TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.

cluster featured machine-learning python scala spark tensorflow yahoo

Last synced: 12 Oct 2024

https://github.com/googlecreativelab/teachable-machine-v1

Explore how machine learning works, live in the browser. No coding required.

machine-learning teachable-machine

Last synced: 26 Sep 2024

https://github.com/ravenscroftj/turbopilot

Turbopilot is an open source large-language-model based code completion engine that runs locally on CPU

code-completion cpp language-model machine-learning

Last synced: 25 Sep 2024

https://github.com/xitu/tensorflow-docs

TensorFlow 最新官方文档中文版

documentation machine-learning tensorflow

Last synced: 09 Oct 2024

https://github.com/py-why/EconML

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.

causal-inference causality econometrics economics machine-learning treatment-effects

Last synced: 30 Oct 2024

https://github.com/google-deepmind/dm_control

Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

artificial-intelligence deep-learning machine-learning mujoco neural-networks physics-simulation reinforcement-learning

Last synced: 02 Nov 2024

https://github.com/deepmind/dm_control

Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

artificial-intelligence deep-learning machine-learning mujoco neural-networks physics-simulation reinforcement-learning

Last synced: 08 Nov 2024

https://github.com/TarrySingh/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials

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.

artificial-intelligence aws capsule-network convolutional-neural-networks deep-learning ipython-notebook kaggle keras lua machine-learning matplotlib neural-network pandas python python-data pytorch scikit-learn tensorflow tensorflow-tutorials torch

Last synced: 09 Nov 2024

https://github.com/lancedb/lance

Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, with more integrations coming..

apache-arrow computer-vision data-analysis data-analytics data-centric data-format data-science dataops deep-learning duckdb embeddings llms machine-learning mlops python rust

Last synced: 29 Oct 2024

https://github.com/tarrysingh/artificial-intelligence-deep-learning-machine-learning-tutorials

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.

artificial-intelligence aws capsule-network convolutional-neural-networks deep-learning ipython-notebook kaggle keras lua machine-learning matplotlib neural-network pandas python python-data pytorch scikit-learn tensorflow tensorflow-tutorials torch

Last synced: 10 Oct 2024

https://github.com/apachecn/hands-on-ml-zh

:book: [译] Sklearn 与 TensorFlow 机器学习实用指南【版权问题，网站已下线！！】

book deep-learning machine-learning python sklearn tensorflow

Last synced: 26 Sep 2024

https://github.com/lucidrains/stylegan2-pytorch

Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement

artificial-intelligence generative-adversarial-network generative-model machine-learning pytorch

Last synced: 29 Oct 2024

https://github.com/rust-ml/linfa

A Rust machine learning framework.

algorithms machine-learning rust scientific-computing

Last synced: 28 Oct 2024

https://github.com/justmarkham/scikit-learn-videos

Jupyter notebooks from the scikit-learn video series

data-science jupyter-notebook machine-learning python scikit-learn tutorial

Last synced: 13 Oct 2024

https://github.com/bytedance/byteps

A high performance and generic framework for distributed DNN training

deep-learning distributed-training keras machine-learning mxnet pytorch tensorflow

Last synced: 13 Oct 2024

https://github.com/mathfoundationrl/book-mathematical-foundation-of-reinforcement-learning

This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."

book courses machine-learning reinforcement-learning tutorials

Last synced: 15 Oct 2024

https://github.com/deepchecks/deepchecks

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

data-drift data-science data-validation deep-learning html-report jupyter-notebook machine-learning ml mlops model-monitoring model-validation pandas-dataframe python pytorch

Last synced: 29 Oct 2024

https://github.com/Luodian/Otter

🦦 Otter, a multi-modal model based on OpenFlamingo (open-sourced version of DeepMind's Flamingo), trained on MIMIC-IT and showcasing improved instruction-following and in-context learning ability.

artificial-inteligence chatgpt deep-learning embodied-ai foundation-models gpt-4 instruction-tuning large-scale-models machine-learning multi-modality visual-language-learning

Last synced: 24 Oct 2024

https://github.com/luodian/otter

🦦 Otter, a multi-modal model based on OpenFlamingo (open-sourced version of DeepMind's Flamingo), trained on MIMIC-IT and showcasing improved instruction-following and in-context learning ability.

artificial-inteligence chatgpt deep-learning embodied-ai foundation-models gpt-4 instruction-tuning large-scale-models machine-learning multi-modality visual-language-learning

Last synced: 11 Oct 2024

https://github.com/py-why/econml

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.

causal-inference causality econometrics economics machine-learning treatment-effects

Last synced: 29 Oct 2024

https://github.com/benfred/implicit

Fast Python Collaborative Filtering for Implicit Feedback Datasets

collaborative-filtering machine-learning matrix-factorization recommendation recommendation-system recommender-system

Last synced: 29 Oct 2024

https://github.com/chiphuyen/python-is-cool

Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.

advanced-python data-science machine-learning python-tutorials python3

Last synced: 14 Oct 2024

https://github.com/alibaba/alink

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

apriori classification clustering data-mining feature-engineering flink flink-machine-learning flink-ml fm graph-algorithms graph-embedding kafka machine-learning recommender recommender-system regression statistics word2vec xgboost

Last synced: 29 Oct 2024

https://github.com/alibaba/Alink

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

apriori classification clustering data-mining feature-engineering flink flink-machine-learning flink-ml fm graph-algorithms graph-embedding kafka machine-learning recommender recommender-system regression statistics word2vec xgboost

Last synced: 26 Oct 2024

https://github.com/ploomber/ploomber

The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️

data-engineering data-science jupyter jupyter-notebooks machine-learning mlops notebooks papermill pipelines pycharm vscode workflow

Last synced: 29 Oct 2024

https://pair-code.github.io/lit/

The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.

machine-learning natural-language-processing visualization

Last synced: 30 Oct 2024

https://github.com/PAIR-code/lit

The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.

machine-learning natural-language-processing visualization

Last synced: 05 Nov 2024

https://github.com/tensorflow/hub

A library for transfer learning by reusing parts of TensorFlow models.

embeddings image-classification machine-learning ml python tensorflow transfer-learning

Last synced: 29 Oct 2024

https://github.com/POSTECH-CVLab/PyTorch-StudioGAN

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

biggan clean-fid data-efficient-gan-training deep-learning generative-adversarial-network machine-learning pytorch stylegan2 stylegan2-ada stylegan3

Last synced: 06 Nov 2024

https://github.com/fastai/course-nlp

A Code-First Introduction to NLP course

data-science machine-learning nlp python

Last synced: 15 Oct 2024

https://github.com/postech-cvlab/pytorch-studiogan

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

biggan clean-fid data-efficient-gan-training deep-learning generative-adversarial-network machine-learning pytorch stylegan2 stylegan2-ada stylegan3

Last synced: 14 Oct 2024

https://github.com/pair-code/lit

The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.

machine-learning natural-language-processing visualization

Last synced: 11 Oct 2024

https://github.com/rasbt/machine-learning-book

Code Repository for Machine Learning with PyTorch and Scikit-Learn

deep-learning machine-learning neural-networks pytorch scikit-learn

Last synced: 13 Oct 2024

https://github.com/salesforce/Merlion

Merlion: A Machine Learning Framework for Time Series Intelligence

anomaly-detection automl benchmarking ensemble-learning forecasting machine-learning time-series

Last synced: 30 Oct 2024

https://github.com/salesforce/merlion

Merlion: A Machine Learning Framework for Time Series Intelligence

anomaly-detection automl benchmarking ensemble-learning forecasting machine-learning time-series

Last synced: 29 Oct 2024

https://github.com/spotify/basic-pitch

A lightweight yet powerful audio-to-MIDI converter with pitch bend detection

audio lightweight machine-learning midi music pitch-detection polyphonic python transcription typescript

Last synced: 15 Oct 2024

https://github.com/jmschrei/pomegranate

Fast, flexible and easy to use probabilistic modelling in Python.

machine-learning probabilistic-graphical-models python pytorch

Last synced: 15 Oct 2024

https://github.com/microsoft/hummingbird

Hummingbird compiles trained ML models into tensor computation for faster inference.

machine-learning neural-networks pytorch scikit-learn tensor-computation

Last synced: 29 Oct 2024

https://github.com/guillaume-chevalier/LSTM-Human-Activity-Recognition

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

activity-recognition deep-learning human-activity-recognition lstm machine-learning neural-network recurrent-neural-networks rnn tensorflow

Last synced: 28 Oct 2024

https://github.com/guillaume-chevalier/lstm-human-activity-recognition

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

activity-recognition deep-learning human-activity-recognition lstm machine-learning neural-network recurrent-neural-networks rnn tensorflow

Last synced: 15 Oct 2024

https://github.com/eto-ai/lance

Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, with more integrations coming..

apache-arrow computer-vision data-analysis data-analytics data-centric data-format data-science dataops deep-learning duckdb embeddings llms machine-learning mlops python rust

Last synced: 02 Aug 2024

https://github.com/higgsfield-ai/higgsfield

Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters

cluster-management deep-learning distributed llama llama2 llm machine-learning mlops pytorch

Last synced: 01 Nov 2024

https://github.com/higgsfield/higgsfield

Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters

cluster-management deep-learning distributed llama llama2 llm machine-learning mlops pytorch

Last synced: 09 Nov 2024

https://github.com/dair-ai/ML-Notebooks

:fire: Machine Learning Notebooks

ai deep-learning machine-learning python pytorch

Last synced: 08 Nov 2024

https://github.com/pashpashpash/vault-ai

OP Vault ChatGPT: Give ChatGPT long-term memory using the OP Stack (OpenAI + Pinecone Vector Database). Upload your own custom knowledge base files (PDF, txt, epub, etc) using a simple React frontend.

ai artificial-intelligence chatgpt generative go golang knowledge-base long-term-memory machine-learning openai openai-api pdf-support pinecone qdrant-vector-database question-answering react reactjs vector-search

Last synced: 14 Oct 2024

Machine learning Awesome Lists
awesome-scalability 918 awesome-deep-learning-papers 238 awesome-datascience 842 awesome-deep-learning 597 awesome-production-machine-learning 580 awesome-nlp 203 Awesome-pytorch-list 704 Machine-Learning-Tutorials 484 awesome-aws 687 Awesome-Diffusion-Models 2,974 awesome-artificial-intelligence 166 awesome-project-ideas 57 awesome-ml-for-cybersecurity 164 Awesome-CoreML-Models 58 awesome-machine-learning-on-source-code 264 awesome-self-supervised-learning 453 useful-java-links 805 awesome-multimodal-ml 480 awesome-learning-resources 495 Awesome-Embedded 287 awesome-quant 136 awesome-mlops 299 Awesome-Geospatial 1,257 Awesome-Prompt-Engineering 147 awesome-machine-learning-interpretability 1,199 awesome-conformal-prediction 913 awesome-robotic-tooling 939 awesome-robotic-tooling 939 awesome-ai-residency 87 awesome-TS-anomaly-detection 55 awesome-deep-learning-music 248 awesome-quantum-machine-learning 267 awesome-anomaly-detection 138 awesome-ml-courses 39 Awesome-Quant-Machine-Learning-Trading 123 Computer-Science-Resources 51 awesome-decision-tree-papers 423 awesome-python-data-science 379 awesome-tensor-compilers 165 awesome-chatgpt 167 awesome_time_series_in_python 69 awesome-robotics-libraries 205 machine-learning-with-ruby 215 awesome-streamlit 101 awesome-argo 390 Awesome-Federated-Learning 558 Awesome-Interview 204 Awesome-pytorch-list-CNVersion 692 awesome-embedding-models 75 Awesome-Rust-MachineLearning 48
Machine learning Categories
Papers 5,471 Uncategorized 4,649 Books 2,927 Scalability 2,816 Vision 2,028 **Literature and Codes** 1,784 fl in top-tier journal 1,270 文本生成、文本对话 1,107 Table of Contents 1,097 Repos 1,076 Blog Posts 907 Articles & Blogs 882 Articles 880 Videos 864 Year 2022 850 fl in top ml conference and journal 847 Computational Information Geometry 824 Intelligence 728 Robust Machine Learning in Medical Domain 724 [Problems](#content) 623