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30-days-of-python

30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace.

andrew-ng-notes

This is Andrew NG Coursera Handwritten Notes.

average_gmxtraj_data

A python script that takes in multiple xvg plots and generates two new files: an average plot and a mean-std lookup table

awesome-chatgpt-prompts

This repo includes ChatGPT prompt curation to use ChatGPT better.

basic-mathematics-for-machine-learning

The motive behind Creating this repo is to feel the fear of mathematics and do what ever you want to do in Machine Learning , Deep Learning and other fields of AI

bio4bio-analysing-and-interpreting-genomics-datasets

Activities of the Future Learn Course "Bioinformatics for Biologist: Analysing and Interpreting Genomics Datasets"

biogpt-colab

buttons

How to create Markdown buttons.

calc_exer_fk

chaperong

CHAPERONg: An automated pipeline for GROMACS MD simulations and trajectory analyses

chaperong-tutorial-files

chaperong_tutorials

cheatsheets

My cheatsheets

computational-cryoem

A curated list of awesome computational cryo-EM methods.

coursera-imperial-college-of-london-mathematics-for-machine-learning-specialization

This Repository contains Solutions to the Quizes & Lab Assignments of the Mathematics for Machine Learning Specialization offered by Imperial College of London on Coursera taught by David Dye, Samuel J. Cooper, A. Freddie Page, Marc Peter Deisenroth

coursera-mathematics-for-ml

Code of the solutions of the Mathematics for Machine Learning course taught in Coursera.

custom_split_sdfile

A python code that splits a huge compound library in .SD/.SDF format into user-defined smaller sub-libraries.Part of an ongoing much bigger project.

dlforbeginners

git-cheat-sheet

A simple Git cheat sheet

intermol

Conversion tool for molecular simulations

iwatobipen_implementation_of_diffdock

Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking

kaggle-solutions

🏅 Collection of Kaggle Solutions and Ideas 🏅

kaggle_ml

learnml

This is the Study Guide for Learn Machine Learning in 3 Months (PyTorch Curriculum) by Siraj Raval on Youtube

ligandmpnn

llm-course

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

mathematics-for-machine-learning-coursera

quizzes/assignments for mathematics for machine learning specialization on coursera

mathematics-for-ml

🧮 A collection of resources to learn mathematics for machine learning

mls_notebooks

mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"