blenature

aima

Solutions to AIMA (Artificial Intelligence: A Modern Approach)

aima-exercises

Exercises for the book Artificial Intelligence: A Modern Approach

aima-java

Java implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

algorithms

Bug-tracking for Jeff's algorithms book, notes, etc.

algorithms_illuminated_active_reading

Active reading of the book series Algorithms Illuminated by Tim Roughgarden

en.javascript.info

Modern JavaScript Tutorial

iris_lvq3

Iris classification using Learning Vector Quantization 3 (LVQ 3) and its comparison with K-NN and Random Forest

lvq4j-example-iris

A simple demo of LVQ4J usage on the Iris Data Set

mit-vecmath

MIT's vecmath library enhanced for const-correctness and providing some additional methods

tmva-tutorial

Collection of Notebook for Tutorials on TMVA

blenature/ML-YouTube-Courses

📺 Discover the latest machine learning / AI courses on YouTube.

blenature/45-Days-Internship-By-Arsh-Goyal

blenature/AIPND-revision

Revision to the code and associated files for the AI Programming with Python Nanodegree Program

blenature/AutoGPT

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

blenature/binderhub

Run your code in the cloud, with technology so advanced, it feels like magic!

blenature/cmssw

CMS Offline Software

blenature/codespaces-jupyter

Explore machine learning and data science with Codespaces

blenature/cpython

The Python programming language

blenature/cuda-samples

Samples for CUDA Developers which demonstrates features in CUDA Toolkit

blenature/cudf

cuDF - GPU DataFrame Library

blenature/data-science-from-scratch

code for Data Science From Scratch book

blenature/ExtractGPT

Attribute Value Extraction using Large Language Models

blenature/geant4

Geant4 toolkit for the simulation of the passage of particles through matter - NIM A 506 (2003) 250-303

blenature/geodata-in-python-oct2023

Learn the basics of geospatial data theory, covering raster, vector, and related concepts. Gain hands-on experience with Python libraries for geospatial data.

blenature/gputreeshap

blenature/handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

blenature/hep-resources

Extended online version of the PDG Particle Physics Information review.

blenature/HEPML-LivingReview

Living Review of Machine Learning for Particle Physics

blenature/MachineLearning

Basic Machine Learning and Deep Learning

blenature/ML-Classification-with-ease

This repository simplifies ML classification with organized, efficient classification models. Ideal for all skill levels, it offers default models, hyperparameter tuning, feature selection, tree-specific operations, and more.

blenature/ML-For-Beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

blenature/muon

muon is a multimodal omics Python framework

blenature/root

The official repository for ROOT: analyzing, storing and visualizing big data, scientifically

blenature/scikit-learn

scikit-learn: machine learning in Python

blenature/self-rewarding-lm-pytorch

Implementation of the training framework proposed in Self-Rewarding Language Model, from MetaAI

blenature/tensorflow-2-public

blenature/TensorFlow-Examples

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

blenature/TMVA

Toolkit for Multivariate Analysis with ROOT

blenature/wdl

Workflow Description Language - Specification and Implementations

blenature/xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow