machine-learning

ConvoKit is a toolkit for extracting conversational features and analyzing social phenomena in conversations. It includes several large conversational datasets along with scripts exemplifying the use of the toolkit on these datasets.

Go implementation of the MediaDevices API.

Active Learning for Text Classification in Python

Forecasting electric power load of Delhi using ARIMA, RNN, LSTM, and GRU models

Light-weight Single Person Pose Estimator

:chart_with_upwards_trend: Implementation of eight evaluation metrics to access the similarity between two images. The eight metrics are as follows: RMSE, PSNR, SSIM, ISSM, FSIM, SRE, SAM, and UIQ.

Build your own X - Master machine learning by building everything from scratch. It aims to cover everything from linear regression to deep learning to large language models (LLMs).

数学建模和机器学习/深度学习/大模型的笔记和资料（持续更新中......）。

Time series analysis in the `tidyverse`

Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inferences, Sampling methods.

An awesome list of papers on privacy attacks against machine learning

♟️ Vectorized RL game environments in JAX

In Generative AI with Large Language Models (LLMs), you’ll learn the fundamentals of how generative AI works, and how to deploy it in real-world applications.

A collection of some datasets for segmentation / saliency detection. Welcome to PR...:smile:

This code accompanies the the paper Trading with the Momentum Transformer: An Intelligent and Interpretable Architecture (https://arxiv.org/pdf/2112.08534.pdf).

Our first fully AI generated deep learning system

🍇 GRAPE is a Rust/Python Graph Representation Learning library for Predictions and Evaluations

Differentiable Fluid Dynamics Package

Machine learning based speech synthesis Electron app, with voices from specific characters from video games

[NeurIPS 2021] Multiscale Benchmarks for Multimodal Representation Learning

This repository collects some codes that encapsulates commonly used algorithms in the field of machine learning. Most of them are based on Numpy, Pandas or Torch. You can deepen your understanding to related model and algorithm or revise it to get the customized code belongs yourself by referring to this repository.

The project focuses on Tracking missing people. We are using Image processing and Machine learning along with Postgres Database.

A non-profit, open source project to make Vedic Astrology easily available to all.

An experimental platform for federated learning.

CDF SIG MLOps

Home assignments for data science positions

Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning

Join the community on Discord for more discussions around Neutone! https://discord.gg/VHSMzb8Wqp

mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.

:bookmark_tabs: Online machine learning resources