peterhamfelt Goto Github PK
Type: User
Location: Sweden
Blog: peterhamfelt.com
Type: User
Location: Sweden
Blog: peterhamfelt.com
Machine learning utility functions and classes.
Simple utilities for handling and managing exploratory and experimental machine learning development
Open source platform for the machine learning lifecycle
Scalable machine 🤖 learning for time series forecasting.
Machine Learning and Artificial Intelligence for Medicine.
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
MLOps using Azure ML Services and Azure DevOps
Python package for implementing a number of Machine Learning, Randomized Optimization and SEarch algorithms.
PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722
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.
Reinforcement Learning for Molecular Design Guided by Quantum Mechanics
MTet: Multi-domain Translation for English and Vietnamese
data science work
NBA sports betting using machine learning
PyTorch and TensorFlow implementation of NCP, LTC, and CfC wired neural models
NeMo: a toolkit for conversational AI
NFStream: a Flexible Network Data Analysis Framework.
Machine learning for NeuroImaging in Python
Make data relevant to Nino indices directly accessible with pandas.read_csv
Python API and command line interface for the numer.ai machine learning competition
Numerous - an object-oriented modelling and simulation engine.
Machine learning, in numpy
Open standard for machine learning interoperability
An extension of Open3D to address 3D Machine Learning tasks
🦦 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 open-source implementation of Google's PaLM models
A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
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.
PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"
POT : Python Optimal Transport
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.