penelopenelope

penelopenelope's Stars

• peremartra/Large-Language-Model-Notebooks-Course

  Practical course about Large Language Models.

  Language:Jupyter Notebook1.2k320

• ghimiresunil/LLM-PowerHouse-A-Curated-Guide-for-Large-Language-Models-with-Custom-Training-and-Inferencing

  LLM-PowerHouse: Unleash LLMs' potential through curated tutorials, best practices, and ready-to-use code for custom training and inferencing.

  Language:Jupyter Notebook622110

• louisfb01/start-llms

  A complete guide to start and improve your LLM skills in 2024 with little background in the field and stay up-to-date with the latest news and state-of-the-art techniques!

  59574

• Hannibal046/Awesome-LLM

  Awesome-LLM: a curated list of Large Language Model

  18.3k1.5k

• mlabonne/llm-course

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

  Language:Jupyter Notebook38.2k4k

• Rainbell129/Obsidian-Homepage

  A dashboard for your obsidian vault.

  Language:CSS1.5k128

• penelopenelope/BioinfoProj_PractiacalSeminarML

  Project implementation on the Practical Seminar ML SS21 UdS.

  Language:Python1

• penelopenelope/ALL-About-Programming

  Coding coding coding

  Language:Python1

• penelopenelope/ALL-About-MachineLearning

  Language:Jupyter Notebook1

• penelopenelope/ALL-About-Biological_Data_Processing

  Seven's study notes and projects on ALL About Biological Data Analysis

  Language:HTML1

• volkamerlab/teachopencadd

  TeachOpenCADD: a teaching platform for computer-aided drug design (CADD) using open source packages and data

  Language:Jupyter Notebook765204

• theislab/single-cell-tutorial

  Single cell current best practices tutorial case study for the paper:Luecken and Theis, "Current best practices in single-cell RNA-seq analysis: a tutorial"

  Language:Jupyter Notebook1.4k455

• WWXkenmo/Bioinfor_researchers_atlas

  423

• penelopenelope/CLRS

  :notebook:Solutions to Introduction to Algorithms

  1

• penelopenelope/ALL-About-Statistics

  1

• kochbj/Deep-Learning-for-Causal-Inference

  Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflow 2.

  29867

• penelopenelope/ALL-About-NumericalAnalysis

  Language:Jupyter Notebook1

• penelopenelope/BioinfoProj_CompEpigen

  Project implementation on Computational Epigenetics UdS SS21

  1

• penelopenelope/BioinfoProj_MembraneBioinformatics

  Language:Python1

• penelopenelope/ALL-About-Single_Cell

  Project implementation from UdS SCB WS21-22.

  2

• flatironinstitute/DeepFRI

  Deep functional residue identification

  Language:Python30175

• stasi009/TakeHomeDataChallenges

  My solution to the book <A collection of Data Science Take-home Challenges>

  Language:Jupyter Notebook977522

• adenger/subpred3

  Code for the manuscript "Optimized data set and feature construction for substrate prediction of membrane transporters"

  Language:Jupyter Notebook1

• penelopenelope/ALL-About-Cancer-Immunology

  1

• deepchem/deepchem

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

  Language:Python5.4k1.7k

• ratschlab/ratschlab-common

  Library of common Python code used across various projects

  Language:Jupyter Notebook21

• google-deepmind/deepmind-research

  This repository contains implementations and illustrative code to accompany DeepMind publications

  Language:Jupyter Notebook13.2k2.6k

• BigDataAnalyticsGroup/bigdataengineering

  Educational material for big data engineering courses

  Language:Jupyter Notebook3120

• harshitaJhavar/Statistics-with-R

  Implementation of Statistics and Data Analysis in R

  Language:R1

• jmzeng1314/5years

  Language:HTML229163