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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.

Here are 128,219 public repositories matching this topic...

pytorch / pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

python machine-learning deep-learning neural-network gpu numpy autograd tensor

Updated Jul 2, 2024
Python

naufalbasara / hfms-backend

Heart Failure Management System

machine-learning tensorflow genetic-algorithm lstm recommender-system rnn-tensorflow optimization-algorithms

Updated Jul 2, 2024
Python

plaidml / tpp-mlir

TPP experimentation on MLIR for linear algebra

machine-learning library compiler llvm micro-kernel

Updated Jul 2, 2024
MLIR

Jayanths9 / Virtual_Makeup_opencv

Transform facial images with virtual makeup using Python, OpenCV, and MediaPipe. This script enables real-time application of lipstick, eye shadow, eyebrow color, and eyeliner based on facial landmarks. Ideal for experimenting with different makeup styles using video, image, or live camera inputs.

python machine-learning computer-vision deep-learning tensorflow face-detection opencv-python makeup mediapipe facelandmark

Updated Jul 2, 2024
Python

nv-quan / machine-learning-in-c

A machine learning framework in C

c machine-learning

Updated Jul 2, 2024
C

mohd-faizy / feature-engineering-hacks

This repository contains a collection of hacks and tips for feature engineering. It is a great resource for anyone who wants to learn how to improve the performance of their machine learning models.

data-science machine-learning feature-selection feature-extraction feature-engineering rfe rfecv chi2

Updated Jul 2, 2024
Jupyter Notebook

patterns-ai-core / weaviate-ruby

Ruby wrapper for the Weaviate vector search database API

ruby machine-learning ml api-client rubyml weaviate vector-search embedding-vectors vector-search-engine

Updated Jul 2, 2024
Ruby

Bayer-Group / pybalance

A library for minimizing the effects of confounding covariates

python machine-learning statistical-analysis confounding beat-undefined

Updated Jul 2, 2024
Jupyter Notebook

RWKV / rwkv.cpp

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

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

Updated Jul 2, 2024
C++

sony / model_optimization

Model Compression Toolkit (MCT) is an open source project for neural network model optimization under efficient, constrained hardware. This project provides researchers, developers, and engineers advanced quantization and compression tools for deploying state-of-the-art neural networks.

machine-learning deep-neural-networks deep-learning neural-network tensorflow optimizer pytorch quantization qat network-quantization network-compression edge-ai ptq

Updated Jul 2, 2024
Python

kepler

sustainable-computing-io / kepler

Kepler (Kubernetes-based Efficient Power Level Exporter) uses eBPF to probe performance counters and other system stats, use ML models to estimate workload energy consumption based on these stats, and exports them as Prometheus metrics

kubernetes machine-learning sustainability energy-monitor prometheus prometheus-exporter cloud-native ebpf energy-consumption energy-efficiency

Updated Jul 2, 2024
Go

vespa

vespa-engine / vespa

AI + Data, online. https://vespa.ai

java search-engine machine-learning big-data ai server cpp tensorflow vespa serving serving-recommendation vector-search

Updated Jul 2, 2024
Java

jackyhuynh / learn_python_programing_in_10_lesson

10 lesson that help new programmer to learn Python. Cover almost everything of Python aspect

python data-science machine-learning jupyter-notebook pandas

Updated Jul 2, 2024
Jupyter Notebook

SuperCowPowers / sageworks

SageWorks: An easy to use Python API for creating and deploying AWS SageMaker Models

python aws machine-learning big-data spark pandas data-engineering

Updated Jul 2, 2024
Python

abarkar / Public-Speaking-Classification-with-Textual-Features

Automatic Analysis of Public Performance with Classical ML methods based on NLP

machine-learning public python3 linguistics classification nlp-machine-learning speaking textual-analysis

Updated Jul 2, 2024
HTML

ahrefs / ocannl

OCANNL: OCaml Compiles Algorithms for Neural Networks Learning

machine-learning neural-network ocaml ocaml-library

Updated Jul 2, 2024
OCaml

skyportal / skyportal

Collaborative platform for time-domain astronomy

machine-learning astronomy lsst collaborative-research variable-stars transient-astronomy

Updated Jul 2, 2024
Python

NewstellerBot / who-said-that

An exploration of recognising yourself and your friends with machine learning.

python machine-learning sklearn naive-bayes-classifier

Updated Jul 2, 2024
Jupyter Notebook

tensorflow / tensorflow

An Open Source Machine Learning Framework for Everyone

python machine-learning deep-neural-networks deep-learning neural-network tensorflow ml distributed

Updated Jul 2, 2024
C++

nimadez / mental-diffusion

Fast Stable Diffusion CLI

machine-learning command-line headless terminal-based inpaint upscaler img2img realesrgan txt2img stable-diffusion diffusers generative-ai safetensors comfyui sdxl

Updated Jul 2, 2024
Python

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