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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/scikit-multiflow/scikit-multiflow

A machine learning package for streaming data in Python. The other ancestor of River.

machine-learning meka moa scikit scikit-learn stream streaming-data

Last synced: 31 Jul 2024

https://github.com/othree/markdown-syntax-zhtw

Markdown 語法說明中文版

machine-learning markdown

Last synced: 04 Aug 2024

https://github.com/anantdgoel/ProjectFib

Chrome extension to flag fake news on Facebook. Built at HackPrinceton '16

chrome-extension docker facebook javascript machine-learning python

Last synced: 03 Aug 2024

https://github.com/asyml/texar-pytorch

Integrating the Best of TF into PyTorch, for Machine Learning, Natural Language Processing, and Text Generation. This is part of the CASL project: http://casl-project.ai/

bert casl-project data-processing deep-learning dialog-systems gpt-2 machine-learning machine-translation natural-language-processing python pytorch roberta texar texar-pytorch text-data text-generation xlnet

Last synced: 02 Aug 2024

https://github.com/fregu856/deeplabv3

PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.

autonomous-driving computer-vision deep-learning machine-learning pytorch semantic-segmentation

Last synced: 07 Aug 2024

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: 31 Jul 2024

https://github.com/louis030195/screen-pipe

Library to build personalized AI powered by what you've seen, said, or heard. Works with Ollama. Alternative to Rewind.ai. Open. Secure. You own your data. Rust.

ai computer-vision llm machine-learning ml multimodal vision

Last synced: 01 Aug 2024

https://github.com/google-research/meta-dataset

A dataset of datasets for learning to learn from few examples

benchmark few-shot-learning machine-learning maml meta-learning tensorflow

Last synced: 01 Aug 2024

https://github.com/williamFalcon/test-tube

Python library to easily log experiments and parallelize hyperparameter search for neural networks

caffe caffe2 chainer data-science deep-learning grid-search hyperparameter-optimization keras machine-learning neural-networks pytorch random-search tensorflow

Last synced: 31 Jul 2024

https://github.com/xanaduai/strawberryfields

Strawberry Fields is a full-stack Python library for designing, simulating, and optimizing continuous variable (CV) quantum optical circuits.

machine-learning quantum quantum-algorithms quantum-computing quantum-optics quantum-programming-language tensorflow

Last synced: 03 Aug 2024

https://github.com/XanaduAI/strawberryfields

Strawberry Fields is a full-stack Python library for designing, simulating, and optimizing continuous variable (CV) quantum optical circuits.

machine-learning quantum quantum-algorithms quantum-computing quantum-optics quantum-programming-language tensorflow

Last synced: 01 Aug 2024

https://github.com/mosecorg/mosec

A high-performance ML model serving framework, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machine

cv deep-learning gpu hacktoberfest jax llm llm-serving machine-learning machine-learning-platform mlops model-serving mxnet nerual-network python pytorch rust tensorflow tts

Last synced: 01 Aug 2024

https://github.com/Breta01/handwriting-ocr

OCR software for recognition of handwritten text

handwriting-ocr machine-learning ocr opencv python recognition tensorflow

Last synced: 01 Aug 2024

https://github.com/numerai/example-scripts

A collection of scripts and notebooks to help you get started quickly.

cryptocurrency machine-learning numerai quant-finance

Last synced: 02 Aug 2024

https://github.com/whylabs/langkit

🔍 LangKit: An open-source toolkit for monitoring Large Language Models (LLMs). 📚 Extracts signals from prompts & responses, ensuring safety & security. 🛡️ Features include text quality, relevance metrics, & sentiment analysis. 📊 A comprehensive tool for LLM observability. 👀

large-language-models machine-learning nlg nlp observability prompt-engineering prompt-injection

Last synced: 31 Jul 2024

https://github.com/mayeaux/generate-subtitles

Generate transcripts for audio and video content with a user friendly UI, powered by Open AI's Whisper with automatic translations and download videos automatically with yt-dlp integration

expressjs gpu libretranslate machine-learning nodejs transcription translation whisper yt-dlp

Last synced: 01 Aug 2024

https://github.com/MisaOgura/flashtorch

Visualization toolkit for neural networks in PyTorch! Demo -->

cnn deep-learning explainability interpretability machine-learning neural-networks pytorch visualization

Last synced: 31 Jul 2024

https://github.com/PracticalDL/Practical-Deep-Learning-Book

Official code repo for the O'Reilly Book - Practical Deep Learning for Cloud, Mobile & Edge

artificial-intelligence cloud deep-learning deep-learning-tutorial edge machine-learning mobile object-detection oreilly oreilly-books

Last synced: 02 Aug 2024

https://github.com/keras-team/keras-nlp

Modular Natural Language Processing workflows with Keras

deep-learning keras machine-learning nlp tensorflow

Last synced: 01 Aug 2024

https://github.com/iterative/mlem

🐶 A tool to package, serve, and deploy any ML model on any platform. Archived to be resurrected one day🤞

cli data-science deployment developer-tools git machine-learning mlem model-registry python

Last synced: 31 Jul 2024

https://github.com/Denis2054/Transformers-for-NLP-2nd-Edition

Transformer models from BERT to GPT-4, environments from Hugging Face to OpenAI. Fine-tuning, training, and prompt engineering examples. A bonus section with ChatGPT, GPT-3.5-turbo, GPT-4, and DALL-E including jump starting GPT-4, speech-to-text, text-to-speech, text to image generation with DALL-E, Google Cloud AI,HuggingGPT, and more

bert chatgpt chatgpt-api dall-e dall-e-api deep-learning gpt-3-5-turbo gpt-4 gpt-4-api huggingface-transformers machine-learning natural-language-processing nlp openai python pytorch roberta-model transformers trax

Last synced: 29 Jul 2024

https://github.com/ben519/MLPB

Machine Learning Problem Bible | Problem Set Here >>

machine-learning python r

Last synced: 07 Aug 2024

https://github.com/altdeep/causalML

The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML

causality machine-learning

Last synced: 02 Aug 2024

https://github.com/nladuo/captcha-break

captcha break based on opencv2, tesseract-ocr and some machine learning algorithm.

captcha captcha-break captcha-solving machine-learning opencv

Last synced: 30 Jul 2024

https://github.com/erikaduan/r_tips

A repository of R usage tips for data cleaning, data mining, data visualisation, statistical inference and machine learning

data-science data-visualization machine-learning r rstats statistics

Last synced: 13 Aug 2024

https://github.com/HuaizhengZhang/Awsome-Deep-Learning-for-Video-Analysis

Papers, code and datasets about deep learning and multi-modal learning for video analysis

deep-learning machine-learning multimodal-learning paper video-analysis video-classification video-dataset

Last synced: 31 Jul 2024

https://github.com/keyvank/femtoGPT

Pure Rust implementation of a minimal Generative Pretrained Transformer

from-scratch gpt gpu llm machine-learning neural-network opencl rust

Last synced: 01 Aug 2024

https://github.com/keyvank/femtogpt

Pure Rust implementation of a minimal Generative Pretrained Transformer

from-scratch gpt gpu llm machine-learning neural-network opencl rust

Last synced: 02 Aug 2024

https://github.com/microsoft/CameraTraps

PyTorch Wildlife: a Collaborative Deep Learning Framework for Conservation.

camera-traps computer-vision conservation machine-learning megadetector pytorch pytorch-wildlife wildlife

Last synced: 08 Aug 2024

https://github.com/ipython-books/cookbook-2nd-code

Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]

computing data-analysis data-mining data-science data-visualization ipython jupyter jupyter-notebook machine-learning numerical-computation python visualization

Last synced: 02 Aug 2024

https://github.com/google-research/rliable

[NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.

benchmarking evaluation-metrics google machine-learning reinforcement-learning rl

Last synced: 02 Aug 2024

https://github.com/aswintechguy/Machine-Learning-Projects

This repository contains mini projects in machine learning with notebook files

classfication jupyter-notebook machine-learning notebook-files python regression

Last synced: 02 Aug 2024

https://github.com/run-house/runhouse

The fastest way to iterate and deploy AI workloads on your own infra. Unobtrusive, debuggable, PyTorch-like APIs.

api artificial-intelligence aws azure collaboration data-science deployment distributed fastapi gcp infrastructure machine-learning middleware observability python pytorch ray sagemaker serverless

Last synced: 31 Jul 2024

https://github.com/jubatus/jubatus

Framework and Library for Distributed Online Machine Learning

c-plus-plus distributed machine-learning ml

Last synced: 02 Aug 2024

https://github.com/SMILELab-FL/FedLab

A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.

deep-learning federated-learning federated-learning-framework fedlab machine-learning pytorch pytorch-federated-learning

Last synced: 02 Aug 2024

https://github.com/hollance/MobileNet-CoreML

The MobileNet neural network using Apple's new CoreML framework

core-ml ios machine-learning mobilenet swift

Last synced: 03 Aug 2024

https://github.com/mosaicml/streaming

A Data Streaming Library for Efficient Neural Network Training

dataset deep-learning machine-learning neural-network pytorch streaming

Last synced: 01 Aug 2024

https://github.com/Yomguithereal/talisman

Straightforward fuzzy matching, information retrieval and NLP building blocks for JavaScript.

clustering deduplication fuzzy-matching information-retrieval machine-learning natural-language-processing record-linkage

Last synced: 31 Jul 2024

https://github.com/stevenygd/PointFlow

PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows

3d-point-clouds computer-vision continuous-normalizing-flows machine-learning pytorch shapes

Last synced: 05 Aug 2024

https://github.com/ibrahimjelliti/Deeplearning.ai-Natural-Language-Processing-Specialization

This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai

attention-mechanism coursera deep-learning deeplearning-ai encoder-decoder logistic-regression machine-learning naive-bayes neural neural-networks nlp probabilistic-models sequence-models specialization

Last synced: 07 Aug 2024

https://github.com/tony-framework/TonY

TonY is a framework to natively run deep learning frameworks on Apache Hadoop.

deep-learning hadoop hadoop-yarn horovod machine-learning tensorflow

Last synced: 02 Aug 2024

https://github.com/stratospark/food-101-keras

Food Classification with Deep Learning in Keras / Tensorflow

ai deep-learning food-classification image-classification keras machine-learning tensorflow

Last synced: 07 Aug 2024

https://github.com/larq/larq

An Open-Source Library for Training Binarized Neural Networks

binarized-neural-networks binder deep-learning keras larq machine-learning python quantized-neural-networks tensorflow

Last synced: 02 Aug 2024

https://github.com/dipy/dipy

DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.

bundles contextual-enhancement denoising diffusion-mri dki dti machine-learning medical-imaging microstructure neuroanatomy neuroimaging patch2self python registration segmentation self-supervised-learning spherical-harmonics tracking tractography tractometry

Last synced: 03 Aug 2024

https://github.com/curiosity-ai/catalyst

🚀 Catalyst is a C# Natural Language Processing library built for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.

ai artificial-intelligence csharp embeddings machine-learning natural-language-processing natural-language-understanding nlp

Last synced: 31 Jul 2024

https://github.com/evilgix/Evil

Optical Character Recognition in Swift for iOS&macOS. 银行卡、身份证、门牌号光学识别

cnn-model keras machine-learning ocr swift4 vision

Last synced: 04 Aug 2024

https://github.com/Xtra-Computing/thundergbm

ThunderGBM: Fast GBDTs and Random Forests on GPUs

cuda gbdt gpu machine-learning random-forest

Last synced: 01 Aug 2024

https://github.com/gigwegbe/tinyml-papers-and-projects

This is a list of interesting papers and projects about TinyML.

computer-vision embedded-systems machine-learning neural-architecture-search tinyml wake-word

Last synced: 03 Aug 2024

https://github.com/apache/submarine

Submarine is Cloud Native Machine Learning Platform.

ai deep-learning docker kubernetes machine-learning notebook

Last synced: 31 Jul 2024

https://github.com/googleapis/nodejs-speech

This repository is deprecated. All of its content and history has been moved to googleapis/google-cloud-node.

machine-learning nodejs speech speech-to-text

Last synced: 30 Jul 2024

https://github.com/dformoso/sklearn-classification

Data Science Notebook on a Classification Task, using sklearn and Tensorflow.

classification-task data docker jupyter learning machine machine-learning notebook roc roc-curve science sklearn tensorflow

Last synced: 07 Aug 2024

https://github.com/TreborNamor/TradingView-Machine-Learning-GUI

Embark on a trading journey with this project's cutting-edge stop loss/take profit generator, fine-tuning your TradingView strategy to perfection. Harness the power of sklearn's machine learning algorithms to unlock unparalleled strategy optimization and unleash your trading potential.

bot machine-learning optimize python stock stock-market strategy trading trading-algorithms trading-strategies tradingview

Last synced: 01 Aug 2024

https://github.com/inspirehep/magpie

Deep neural network framework for multi-label text classification

classification deep-learning machine-learning multi-label-classification neural-network nlp prediction word2vec

Last synced: 04 Aug 2024

https://github.com/BiomedSciAI/causallib

A Python package for modular causal inference analysis and model evaluations

causal causal-inference causal-models causality data-science machine-learning ml

Last synced: 31 Jul 2024

https://github.com/nwuzmedoutlook/university

:octocat:120+国内高校课程资源纯手工整理,欢迎补充、修订

book college computer-science course ebook exam knowledge learn machine-learning share study university

Last synced: 31 Jul 2024

https://github.com/bytefish/opencv

OpenCV projects: Face Recognition, Machine Learning, Colormaps, Local Binary Patterns, Examples...

face-recognition machine-learning opencv

Last synced: 01 Aug 2024

https://github.com/omerbsezer/Reinforcement_learning_tutorial_with_demo

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

a3c actor-critic deep-reinforcement-learning dyna dynamic-programming imitation-learning machine-learning meta-learning policy-gradient pomdps q-learning reinforcement-learning sarsa td-learning tutorial

Last synced: 07 Aug 2024

https://github.com/pplonski/keras2cpp

This is a bunch of code to port Keras neural network model into pure C++.

keras machine-learning neural-network

Last synced: 30 Jul 2024

https://github.com/plastic-labs/tutor-gpt

LangChain LLM application. Dynamic metaprompting for theory-of-mind-powered tutoring.

ai education hacktoberfest literacy machine-learning prompt-engineering theory-of-mind tutoring

Last synced: 01 Aug 2024

https://github.com/ika-rwth-aachen/Cam2BEV

TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.

autonomous-vehicles birds-eye-view computer-vision deep-learning ipm machine-learning segmentation sim2real simulation

Last synced: 31 Jul 2024

https://github.com/koursaros-ai/nboost

NBoost is a scalable, search-api-boosting platform for deploying transformer models to improve the relevance of search results on different platforms (i.e. Elasticsearch)

cloud deep-learning docker elasticsearch helm kubernetes machine-learning microservices nboost nlp proxy python pytorch search-api search-engine semantic-search tensorflow

Last synced: 01 Aug 2024

https://github.com/cnkuangshi/LightCTR

Lightweight and Scalable framework that combines mainstream algorithms of Click-Through-Rate prediction based computational DAG, philosophy of Parameter Server and Ring-AllReduce collective communication.

computational-graphs deep-learning distributed-systems factorization-machines machine-learning model-compression parameter-server

Last synced: 30 Jul 2024

https://github.com/kyegomez/LongNet

Implementation of plug in and play Attention from "LongNet: Scaling Transformers to 1,000,000,000 Tokens"

artificial-intelligence attention attention-is-all-you-need attention-mechanisms chatgpt context-length gpt3 gpt4 machine-learning transformer

Last synced: 03 Aug 2024

https://github.com/raycad/devops-roadmap

DevOps methodology & roadmap for a devops developer in 2019. Interesting books to learn new technologies.

ai big-data books deep-learning devops experience expert-system machine-learning programming

Last synced: 01 Aug 2024

https://github.com/smartcorelib/smartcore

A comprehensive library for machine learning and numerical computing. The library provides a set of tools for linear algebra, numerical computing, optimization, and enables a generic, powerful yet still efficient approach to machine learning.

classification clustering machine-learning machine-learning-algorithms model-selection regression rust rust-lang scientific-computing statistical-learning statistical-models

Last synced: 02 Aug 2024