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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/enzoampil/fastquant

fastquant β€” Backtest and optimize your ML trading strategies with only 3 lines of code!

algotrading backtesting cryptocurrency data-science financial-data-science machine-learning quantitative-finance stocks trading-strategies

Last synced: 14 Feb 2025

https://dotnet.github.io/infer/

Infer.NET is a framework for running Bayesian inference in graphical models

bayesian-inference machine-learning

Last synced: 02 Nov 2024

https://github.com/datamade/usaddress

:us: a python library for parsing unstructured United States address strings into address components

address address-parser conditional-random-fields crf machine-learning natural-language-processing nlp parserator python python-library

Last synced: 18 Feb 2025

https://github.com/cdipaolo/Goml

On-line Machine Learning in Go (and so much more)

machine-learning

Last synced: 24 Oct 2024

https://github.com/instacart/lore

Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers

machine-learning python

Last synced: 14 Feb 2025

https://github.com/LuChengTHU/dpm-solver

Official code for "DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps" (Neurips 2022 Oral)

diffusion-models machine-learning score-based-generative-models stable-diffusion

Last synced: 05 Nov 2024

https://github.com/dustinvtran/ml-videos

A collection of video resources for machine learning

conference machine-learning statistics summer-schools video workshops

Last synced: 04 Feb 2025

https://github.com/lyuchenyang/macaw-llm

Macaw-LLM: Multi-Modal Language Modeling with Image, Video, Audio, and Text Integration

deep-learning language-model machine-learning multi-modal-learning natural-language-processing neural-networks

Last synced: 14 Feb 2025

https://github.com/patrick-kidger/diffrax

Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/

deep-learning differential-equations dynamical-systems equinox jax machine-learning neural-differential-equations neural-networks

Last synced: 18 Feb 2025

https://github.com/bfelbo/deepmoji

State-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc.

ai deep-learning keras machine-learning natural-language-processing neural-networks nlp python sentiment-analysis tensorflow text-classification

Last synced: 13 Feb 2025

https://github.com/lyuchenyang/Macaw-LLM

Macaw-LLM: Multi-Modal Language Modeling with Image, Video, Audio, and Text Integration

deep-learning language-model machine-learning multi-modal-learning natural-language-processing neural-networks

Last synced: 07 Nov 2024

https://github.com/asuharietygvar/appleneuralhash2onnx

Convert Apple NeuralHash model for CSAM Detection to ONNX.

apple machine-learning neuralhash reverse-engineering

Last synced: 17 Feb 2025

https://github.com/AsuharietYgvar/AppleNeuralHash2ONNX

Convert Apple NeuralHash model for CSAM Detection to ONNX.

apple machine-learning neuralhash reverse-engineering

Last synced: 26 Oct 2024

https://github.com/luwill/machine_learning_code_implementation

Mathematical derivation and pure Python code implementation of machine learning algorithms.

jupyter-notebook machine-learning python

Last synced: 13 Feb 2025

https://github.com/bfelbo/DeepMoji

State-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc.

ai deep-learning keras machine-learning natural-language-processing neural-networks nlp python sentiment-analysis tensorflow text-classification

Last synced: 11 Nov 2024

https://github.com/devnag/pytorch-generative-adversarial-networks

A very simple generative adversarial network (GAN) in PyTorch

deep-learning gan gans machine-learning pytorch

Last synced: 26 Oct 2024

https://github.com/nubank/fklearn

fklearn: Functional Machine Learning

data-analysis data-science machine-learning ml python

Last synced: 19 Feb 2025

https://github.com/luwill/Machine_Learning_Code_Implementation

Mathematical derivation and pure Python code implementation of machine learning algorithms.

jupyter-notebook machine-learning python

Last synced: 08 Nov 2024

https://github.com/yimeng-zhang/feature-engineering-and-feature-selection

A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.

data-mining feature-engineering feature-extraction feature-selection machine-learning python

Last synced: 16 Feb 2025

https://github.com/pavlin-policar/opentsne

Extensible, parallel implementations of t-SNE

dimensionality-reduction embedding machine-learning tsne visualization

Last synced: 19 Feb 2025

https://github.com/o19s/elasticsearch-learning-to-rank

Plugin to integrate Learning to Rank (aka machine learning for better relevance) with Elasticsearch

elasticsearch elasticsearch-plugin elasticsearch-plugins machine-learning relevant-search search-relevance

Last synced: 13 Feb 2025

https://github.com/jbellis/jvector

JVector: the most advanced embedded vector search engine

ann java knn machine-learning search-engine similarity-search vector-search

Last synced: 13 Feb 2025

https://github.com/ahangchen/GDLnotes

Google Deep Learning Notes（TensorFlow教程）

deep-learning machine-learning tensorflow

Last synced: 14 Nov 2024

https://github.com/tensorflow/model-optimization

A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.

compression deep-learning keras machine-learning ml model-compression optimization pruning quantization quantized-networks quantized-neural-networks quantized-training sparsity tensorflow

Last synced: 18 Feb 2025

https://github.com/ahangchen/gdlnotes

Google Deep Learning Notes（TensorFlow教程）

deep-learning machine-learning tensorflow

Last synced: 17 Feb 2025

https://github.com/dair-ai/Transformers-Recipe

🧠 A study guide to learn about Transformers

ai deep-learning machine-learning natural-language-processing nlp

Last synced: 05 Nov 2024

https://github.com/dair-ai/transformers-recipe

🧠 A study guide to learn about Transformers

ai deep-learning machine-learning natural-language-processing nlp

Last synced: 08 Jan 2025

https://github.com/h2oai/h2o-tutorials

Tutorials and training material for the H2O Machine Learning Platform

data-science deep-learning h2o machine-learning python r tutorial

Last synced: 20 Feb 2025

https://github.com/samim23/polymath

Convert any music library into a music production sample-library with ML

audio machine-learning ml music python

Last synced: 20 Nov 2024

https://github.com/Hironsan/anago

Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.

deep-learning keras machine-learning named-entity-recognition natural-language-processing sequence-labeling

Last synced: 07 Nov 2024

https://github.com/pkmital/cadl

ARCHIVED: Contains historical course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL

deep-learning dockerfile jupyter-notebook machine-learning mooc neural-network tensorflow tutorial workshop

Last synced: 15 Feb 2025

https://github.com/adblockradio/adblockradio

An adblocker for live radio streams and podcasts. Machine learning meets Shazam.

adblock adblockradio ai keras machine-learning shazam signal-processing tensorflow

Last synced: 17 Jan 2025

https://github.com/google/uncertainty-baselines

High-quality implementations of standard and SOTA methods on a variety of tasks.

bayesian-methods data-science deep-learning machine-learning neural-networks probabilistic-programming statistics tensorflow

Last synced: 20 Feb 2025

https://github.com/pkmital/CADL

ARCHIVED: Contains historical course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL

deep-learning dockerfile jupyter-notebook machine-learning mooc neural-network tensorflow tutorial workshop

Last synced: 12 Nov 2024

https://github.com/hironsan/anago

Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.

deep-learning keras machine-learning named-entity-recognition natural-language-processing sequence-labeling

Last synced: 14 Feb 2025

https://github.com/alexrozanski/llamachat

Chat with your favourite LLaMA models in a native macOS app

ai llama llamacpp machine-learning macos swift swiftui

Last synced: 16 Feb 2025

https://github.com/rwkv/rwkv.cpp

INT4/INT5/INT8 and FP16 inference on CPU for RWKV language model

deep-learning ggml language-model llm machine-learning quantization rwkv

Last synced: 13 Feb 2025

https://github.com/pavlin-policar/openTSNE

Extensible, parallel implementations of t-SNE

dimensionality-reduction embedding machine-learning tsne visualization

Last synced: 07 Nov 2024

https://github.com/dair-ai/nlp_paper_summaries

✍️ A carefully curated list of NLP paper summaries

deep-learning machine-learning nlp

Last synced: 28 Jan 2025

https://github.com/fangwei123456/spikingjelly

SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.

deep-learning dvs machine-learning pytorch snn spiking-neural-networks

Last synced: 19 Feb 2025

https://github.com/arztsamuel/applying_eanns

A 2D Unity simulation in which cars learn to navigate themselves through different courses. The cars are steered by a feedforward neural network. The weights of the network are trained using a modified genetic algorithm.

artificial-neural-networks deep-learning evolutionary-algorithms genetic-algorithm machine-learning neural-networks self-driving-cars

Last synced: 28 Jan 2025

https://github.com/mangiucugna/json_repair

A python module to repair invalid JSON, commonly used to parse the output of LLMs

deep-learning gpt-4 json llama3 llm machine-learning mistral openai-api parser repair

Last synced: 19 Feb 2025

https://github.com/ray-project/kuberay

A toolkit to run Ray applications on Kubernetes

apache deep-learning kubernetes machine-learning ray

Last synced: 20 Feb 2025

https://github.com/microsoft/responsible-ai-toolbox

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.

data-analysis data-science data-visualization error-analysis explainability explainable-ai explainable-ml fairness fairness-ai fairness-ml interpretability jupyter machine-learning machinelearning ml responsible-ai ui visualization widget widgets

Last synced: 18 Feb 2025

https://github.com/alexrozanski/LlamaChat

Chat with your favourite LLaMA models in a native macOS app

ai llama llamacpp machine-learning macos swift swiftui

Last synced: 29 Oct 2024

https://github.com/amitkaps/hackermath

Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way

calculus linear-algebra machine-learning python statistics

Last synced: 17 Feb 2025

https://github.com/microsoft/mup

maximal update parametrization (Β΅P)

deep-learning machine-learning mup mutransfer python pytorch transformers

Last synced: 19 Feb 2025

https://github.com/Tiiiger/bert_score

BERT score for text generation

machine-learning natural-language-processing

Last synced: 02 Nov 2024

https://github.com/tiiiger/bert_score

BERT score for text generation

machine-learning natural-language-processing

Last synced: 20 Feb 2025

https://github.com/bRAGAI/bRAG-langchain

Everything you need to know to build your own RAG application

agentic-rag ai chatbot llm machine-learning python rag

Last synced: 20 Feb 2025

https://github.com/igrigorik/decisiontree

ID3-based implementation of the ML Decision Tree algorithm

decision-tree machine-learning ruby rubyml

Last synced: 17 Feb 2025

https://github.com/jeshraghian/snntorch

Deep and online learning with spiking neural networks in Python

machine-learning neural-networks neuron-models neuroscience python pytorch snn spike spiking spiking-neural-networks

Last synced: 19 Feb 2025

https://github.com/dynamicslab/pysindy

A package for the sparse identification of nonlinear dynamical systems from data

dynamical-systems machine-learning model-discovery nonlinear-dynamics sparse-regression system-identification

Last synced: 18 Feb 2025

https://github.com/patrick-kidger/diffrax?ref=zzun.app

Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/

deep-learning differential-equations dynamical-systems equinox jax machine-learning neural-differential-equations neural-networks

Last synced: 13 Nov 2024

https://github.com/denizyuret/Knet.jl

Koç University deep learning framework.

data-science deep-learning julia knet machine-learning neural-networks

Last synced: 13 Nov 2024

https://github.com/denizyuret/knet.jl

Koç University deep learning framework.

data-science deep-learning julia knet machine-learning neural-networks

Last synced: 15 Feb 2025

https://github.com/geostatsguy/pythonnumericaldemos

Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.

datanalytics geostatistics machine-learning python

Last synced: 13 Feb 2025

Machine learning Awesome Lists
awesome-scalability 918 awesome-deep-learning-papers 238 awesome-datascience 829 awesome-deep-learning 597 awesome-production-machine-learning 588 awesome-nlp 203 awesome-kubernetes 48 Awesome-pytorch-list 704 Machine-Learning-Tutorials 484 awesome-aws 687 Awesome-Diffusion-Models 2,974 awesome-artificial-intelligence 168 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 807 awesome-multimodal-ml 480 awesome-learning-resources 499 Awesome-Embedded 290 awesome-quant 136 Awesome-Prompt-Engineering 147 awesome-mlops 297 Awesome-Geospatial 1,263 awesome-machine-learning-interpretability 1,385 awesome-robotic-tooling 939 awesome-conformal-prediction 959 awesome-ai-residency 89 awesome-TS-anomaly-detection 55 awesome-deep-learning-music 248 awesome-quantum-machine-learning 267 awesome-anomaly-detection 138 awesome-ml-courses 40 Computer-Science-Resources 51 Awesome-Quant-Machine-Learning-Trading 123 awesome-tensor-compilers 165 awesome-robotics-libraries 205 awesome-decision-tree-papers 423 awesome-python-data-science 379 awesome_time_series_in_python 69 awesome-chatgpt 167 awesome-argo 394 machine-learning-with-ruby 216 awesome-streamlit 101 Awesome-Rust-MachineLearning 48 Awesome-Federated-Learning 558 Awesome-Interview 204 awesome-ml4co 423 Awesome-pytorch-list-CNVersion 692
Machine learning Categories
Papers 6,705 Uncategorized 5,619 Books 3,112 Scalability 2,814 Vision 2,028 **Literature and Codes** 1,783 A01_ζ–‡ζœ¬η”Ÿζˆ_ζ–‡ζœ¬ε―Ήθ― 1,709 fl in top-tier journal 1,636 Repos 1,177 Table of Contents 1,152 Blog Posts 1,144 Articles & Blogs 1,121 Year 2022 1,036 Articles 921 fl in top ml conference and journal 847 Videos 840 Computational Information Geometry 824 Publications-and-Preprints 740 Intelligence 727 Research Papers 713