peterhamfelt Goto Github PK
Type: User
Location: Sweden
Blog: peterhamfelt.com
Type: User
Location: Sweden
Blog: peterhamfelt.com
A machine learning program in python to generate cryptocurrency trading strategies using machine learning. Sklearn and Tensorflow.
NumPy & SciPy for GPU
Python library for building highly effective data science workflows
moDel Agnostic Language for Exploration and eXplanation
Data Structure & Algorithm
A Python implementation of Deep Belief Networks built upon NumPy and TensorFlow with scikit-learn compatibility
A Deep Learning Framework for the Posit Number System
Torchreid: Deep learning person re-identification in PyTorch.
Metasploit for machine learning.
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
Deep representation learning for disease prediction based on microbiome data
A library for scientific machine learning and physics-informed learning
Disaster_Response_Project
DisCo: Referring Human Dance Generation in Real World
Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform
dpart: General, flexible, and scalable framework for differentially private synthetic data generation, developed by hazy.
Just the facts -- web page content extraction
Recipes for Driverless AI
Compilation of resources for aspiring data scientists
[CADL'22, ECCVW] Official repository of paper titled "EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision Applications".
Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch
Real-time Facial Emotion Detection using deep learning
Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
Earth observation processing framework for machine learning in Python
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
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
do more with dbt. fal helps you run Python alongside dbt, so you can send Slack alerts, detect anomalies and build machine learning models.
A large-scale dataset of both raw MRI measurements and clinical MRI images.
Feature Store for Machine Learning
Python Library for FeatureOps
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.