Peter Hamfelt

:house_with_garden: Open source home automation that puts local control and privacy first.

Python API and command line interface for the numer.ai machine learning competition

NeMo: a toolkit for conversational AI

🦦 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.

An elegant PyTorch deep reinforcement learning library.

Quantization and Synthesis (Device Specific Code Generation) for ADI's MAX78000 and MAX78002 AI Devices

Atlantic - Automated Data Preprocessing Framework for Supervised Machine Learning

Working with molecular structures in pandas DataFrames

Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch

Synthetic Minority Over-Sampling Technique for Regression

Deep representation learning for disease prediction based on microbiome data

vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distributed under a BSD-3-Clause license.

🎛 Distributed machine learning made simple.

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Python Package for Empirical Statistical Downscaling. pyESD is under active development and all colaborators are welcomed. The purpose of the package is to downscale any climate variables e.g. precipitation and temperature using predictors from reanalysis datasets (eg. ERA5) to point scale. pyESD adopts many ML and AL as the transfer function.

Blue Brain text mining toolbox for semantic search and structured information extraction

The implementation of Adversarial Multiple Instance Learning for the Survival Analysis on Whole-Slide Images

Python library for building highly effective data science workflows

STanford EArthquake Dataset (STEAD):A Global Data Set of Seismic Signals for AI

A free sports API written for python

Algorithms in Python

Proteomics Mass Spectrometry Datasets for Machine Learning

Machine Learning is basically an application of Artificial Intelligence (AI) that provides a computer system, the ability to automatically learn and improve from its experience, without any human intervention or explicit coding. Machine Learning is being used these days in many walks of our daily life such as: Facebook face recognition, Motion Sens

Disaster_Response_Project

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🌟 Welcome to my repository! 🚀 This code is designed to predict loan status using machine learning techniques. It includes data preprocessing 📊, feature engineering 🛠️, model training ⚙️, and evaluation 📈. The goal is to optimize loan processing efficiency for lenders and provide accurate predictions for loan applicants. 🎯✨

A next-generation open source orchestration platform for the development, production, and observation of data assets.

Deep Learning library built on top of PyTorch and Pyro, offering solutions for regression and classification tasks.

survey_stats is a Python package that provides a set of statistical tools for survey studies. This package includes some tools for data processing and estimation of observation weights, linear and logistic regressions, as well as tree regression and classification that are adapted for both numerical and categorical variables.

data science work

Make data relevant to Nino indices directly accessible with pandas.read_csv

PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer

Automated Data Science and Machine Learning library to optimize workflow.

Ruleset covering algorithms for transparent machine learning

A non-parametric Bayesian approach to Hidden Markov Models

Code for Kaggle Data Science Competitions

[pip install medmnist] 18 MNIST-like Datasets for 2D and 3D Biomedical Image Classification

SHARK - High Performance Machine Learning Distribution

A Python library for alpha matting

Feature Store for Machine Learning

dpart: General, flexible, and scalable framework for differentially private synthetic data generation, developed by hazy.

Python Library for FeatureOps

Vectorized port of Klong array language

Automate machine learning pipelines rapidly

A package for converting irregularly spaced time series, such as eletronic health records, into statically shaped dataframes.

The project categorizes 160K food orders from 100 different pizza shops. Multiple iterations of the ‘Bag of Words’ model alongside K-means clustering were used to solve the problem.

This repository contains a framework for training, testing and evaluating machine learning models to predict the price per night of AIrbnb property listings using property-related features.

Deep learning aids prediction of IDH mutation status from histopathological whole slide images (WSI)

A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rewrites.

Spark implementation of computing Shapley Values using monte-carlo approximation

Epidemiology analysis package

Automated Time Series Forecasting

Collection of bioinformatics training materials

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:cookie: Clustering stability analysis in Python with a scikit-learn compatible API.

Machine learning utility functions and classes.

Recipes for Driverless AI

Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform

Reinforcement Learning for Molecular Design Guided by Quantum Mechanics

pycorrector is a toolkit for text error correction. 文本纠错，Kenlm，ConvSeq2Seq，BERT，MacBERT，ELECTRA，ERNIE，Transformer，T5等模型实现，开箱即用。

DisCo: Referring Human Dance Generation in Real World

[CADL'22, ECCVW] Official repository of paper titled "EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision Applications".

An open-source implementation of Google's PaLM models

A framework for training and evaluating AI models on a variety of openly available dialogue datasets.

Clean APIs for data cleaning. Python implementation of R package Janitor

Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.

PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

NFStream: a Flexible Network Data Analysis Framework.

We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.

A system for automating the design of predictive modeling pipelines tailored for clinical prognosis.

A python implementation of the common CHAID algorithm

machine code+i git matrix + user

Simple utilities for handling and managing exploratory and experimental machine learning development

TensorLy: Tensor Learning in Python.

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

Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems

Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"

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

Easier audio-based machine learning with TensorFlow.

PyTorch and TensorFlow implementation of NCP, LTC, and CfC wired neural models

A simple image classification Model using TensorFlow that classifies surgical tools based on user image input through Tkinter.

Root Mean Square Layer Normalization

A Deep Learning Framework for the Posit Number System

HetSeq: Distributed GPU Training on Heterogeneous Infrastructure

Improve your CV using Artificial Intelligence

Numerous - an object-oriented modelling and simulation engine.

Machine Learning and Artificial Intelligence for Medicine.

Include ML DL RL, knowledge and code

Earth observation processing framework for machine learning in Python

Autonomous driving neural network comparison tool

MTet: Multi-domain Translation for English and Vietnamese

Anomaly detection related books, papers, videos, and toolboxes

A simple Mathematical utility for Humans 🦉

Machine learning for NeuroImaging in Python

Project of AI class at UFPB

PQAI Search Server

My Toolkit for Machine Learning and Data Science.

Unofficial Implementation of Consistency Models in pytorch

Quantum Machine Learning

MLOps using Azure ML Services and Azure DevOps

AiTLAS implements state-of-the-art AI methods for exploratory and predictive analysis of satellite images.

Open standard for machine learning interoperability

Artificial intelligence software for MapleStory that uses various machine learning and computer vision techniques to navigate challenging in-game environments

Artificial Intelligence Learning Notes.

Artificial Intelligence

moDel Agnostic Language for Exploration and eXplanation

Uplift modeling and causal inference with machine learning algorithms

Compilation of resources for aspiring data scientists

Processing and gridding spatial data, machine-learning style

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

Zipline, a Pythonic Algorithmic Trading Library

Probabilistic time series modeling in Python

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Adaptive Experimentation Platform

This is an innovative machine learning project that utilizes patient reviews with many other attributes to analyze and evaluate the effectiveness of drugs.

Machine learned bracketology

Python package for easy access to weather and climate data

Language-Agnostic SEntence Representations

Uniform Manifold Approximation and Projection

Python package for implementing a number of Machine Learning, Randomized Optimization and SEarch algorithms.

Scalable machine 🤖 learning for time series forecasting.

Just the facts -- web page content extraction

An automated machine learning tool aimed to facilitate AutoML research.

Wavelet scattering transforms in Python with GPU acceleration

a delightful machine learning tool that allows you to train, test, and use models without writing code

do more with dbt. fal helps you run Python alongside dbt, so you can send Slack alerts, detect anomalies and build machine learning models.

MD5SUM - 23892c6262358d47b997e4a22215a185

Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras

:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps

PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"

POT : Python Optimal Transport

Image augmentation for machine learning experiments.

Machine learning, statistics, and data mining for astronomy and astrophysics

Open source platform for the machine learning lifecycle

Algorithmic Trading in Python with Machine Learning

NumPy & SciPy for GPU

Machine learning, in numpy

StellarGraph - Machine Learning on Graphs

A machine learning program in python to generate cryptocurrency trading strategies using machine learning. Sklearn and Tensorflow.

NBA sports betting using machine learning

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

A Python implementation of Deep Belief Networks built upon NumPy and TensorFlow with scikit-learn compatibility

A library for scientific machine learning and physics-informed learning

Image-to-Image Translation in PyTorch

Real-time Facial Emotion Detection using deep learning

Metasploit for machine learning.

Magenta: Music and Art Generation with Machine Intelligence

A unified end-to-end machine intelligence platform

Torchreid: Deep learning person re-identification in PyTorch.

An extension of Open3D to address 3D Machine Learning tasks

A large-scale dataset of both raw MRI measurements and clinical MRI images.

Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

Gluon CV Toolkit

A framework for Privacy Preserving Machine Learning

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Data-centric declarative deep learning framework

No description.

A Java(SpringBoot) template for Java and AWS SageMaker DeepAR model endpoint invocation integration

Data Structure & Algorithm

Java OpenGL Mathematics Library