Neuraldominator

Neuraldominator's Stars

• interpretml/interpret

  Fit interpretable models. Explain blackbox machine learning.

  Language:C++6.2k725

• PacktPublishing/Building-LLM-Powered-Applications

  Building Large Language Model Applications, Published by Packt

  Language:Jupyter Notebook16362

• zou-group/textgrad

  TextGrad: Automatic ''Differentiation'' via Text -- using large language models to backpropagate textual gradients.

  Language:Python1.6k126

• ComputationalEvolutionaryMorphometry/jaxgeometry

  Language:Python102

• apple/corenet

  CoreNet: A library for training deep neural networks

  Language:Python6.9k539

• jakevdp/PythonDataScienceHandbook

  Python Data Science Handbook: full text in Jupyter Notebooks

  Language:Jupyter Notebook42.8k17.8k

• mlabonne/llm-course

  Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

  Language:Jupyter Notebook37.4k3.9k

• lazyprogrammer/machine_learning_examples

  A collection of machine learning examples and tutorials.

  Language:Python8.3k6.3k

• timzhang642/3D-Machine-Learning

  A resource repository for 3D machine learning

  9.7k1.8k

• liamhartley/spotify_analysis

  Analyse Spotify playlists, albums and artists.

  Language:Python3218

• microsoft/powerbi-desktop-samples

  Power BI Desktop sample files for the monthly release. Here you can find the PBIX files used in the monthly release videos.

  1.4k860

• deldersveld/PowerBI-ThemeTemplates

  Snippets for assembling Power BI Themes

  449205

• MattRudy/PowerBI-ThemeTemplates

  JSON Templates for assembling Power BI Themes

  22580

• k-bosko/purchase_prediction

  Price Elasticities and Purchase Incidence Model

  Language:Jupyter Notebook122

• susanli2016/Machine-Learning-with-Python

  Python code for common Machine Learning Algorithms

  Language:Jupyter Notebook4.3k4.8k

• academic/awesome-datascience

  :memo: An awesome Data Science repository to learn and apply for real world problems.

  24.7k5.9k

• donnemartin/data-science-ipython-notebooks

  Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

  Language:Python27.2k7.8k

• josephmisiti/awesome-machine-learning

  A curated list of awesome Machine Learning frameworks, libraries and software.

  Language:Python65.5k14.6k

• TheAlgorithms/Python

  All Algorithms implemented in Python

  Language:Python184k44.3k

• freeCodeCamp/freeCodeCamp

  freeCodeCamp.org's open-source codebase and curriculum. Learn to code for free.

  Language:TypeScript402k37.3k

• tensorflow/tensorflow

  An Open Source Machine Learning Framework for Everyone

  Language:C++186k74.2k

• atinesh-s/Coursera-Machine-Learning-Stanford

  Machine learning-Stanford University

  Language:MATLAB1.1k767

• pinkbox-models/CI-VS-2021

  Code for calculating shuffled autocorrelogram (SAC), correlation index (CI), and vector strength (VS).

  Language:MATLAB1

• dive-into-machine-learning/dive-into-machine-learning

  Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.)

  11.3k1.9k

• rougier/scientific-visualization-book

  An open access book on scientific visualization using python and matplotlib

  Language:Python10.6k982

• duncan-barrack/NHPP

  Language:Matlab2

• hpaulkeeler/posts

  Pieces of code that have appeared on my blog with a focus on stochastic simulations.

  Language:Python4623

• SWARAJkumar/Computational-Neuroscience

  Language:Jupyter Notebook3710

• pinkbox-models/GBC2019

  Adaptive coincidence counting model of globular bushy cells

  Language:MATLAB2

• mohammadbashiri/fitgabor

  A simple tool to find the Gabor filter that maximizes the output of your neuron model

  Language:Python108