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Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
All Algorithms implemented in Python
A high-throughput and memory-efficient inference and serving engine for LLMs
Code samples for my book "Neural Networks and Deep Learning"
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
Aim ๐ซ โ An easy-to-use & supercharged open-source experiment tracker.
A Python framework for accelerated simulation, data generation and spatial computing.
Cracking the Coding Interview 6th Ed. Python Solutions
Python framework for creating, editing, and invoking Noisy Intermediate-Scale Quantum (NISQ) circuits.
A PyTorch native platform for training generative AI models
Cookiecutter template for a Python package.
๐ค ๐๐ฒ๐ฎ๐ฟ๐ป for ๐ณ๐ฟ๐ฒ๐ฒ how to ๐ฏ๐๐ถ๐น๐ฑ an end-to-end ๐ฝ๐ฟ๐ผ๐ฑ๐๐ฐ๐๐ถ๐ผ๐ป-๐ฟ๐ฒ๐ฎ๐ฑ๐ ๐๐๐ & ๐ฅ๐๐ ๐๐๐๐๐ฒ๐บ using ๐๐๐ ๐ข๐ฝ๐ best practices: ~ ๐ด๐ฐ๐ถ๐ณ๐ค๐ฆ ๐ค๐ฐ๐ฅ๐ฆ + 12 ๐ฉ๐ข๐ฏ๐ฅ๐ด-๐ฐ๐ฏ ๐ญ๐ฆ๐ด๐ด๐ฐ๐ฏ๐ด
Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2
FAIR Chemistry's library of machine learning methods for chemistry
Python Materials Genomics (pymatgen) is a robust materials analysis code that defines classes for structures and molecules with support for many electronic structure codes. It powers the Materials โฆ
Python package for compiling and analyzing quantum algorithms to simulate electronic structures.
Official implementation of MatterGen -- a generative model for inorganic materials design across the periodic table that can be fine-tuned to steer the generation towards a wide range of property cโฆ
A Python library for quantum programming using Quil.
Open source implementation of AlphaFold3
MACE - Fast and accurate machine learning interatomic potentials with higher order equivariant message passing.
End-To-End Molecular Dynamics (MD) Engine using PyTorch
Machine learning algorithms for many-body quantum systems
A python library for quantum information and many-body calculations including tensor networks.
Example notebooks that show how to apply quantum computing with Amazon Braket.
TorchANI 2.0 is an open-source library that supports training, development, and research of ANI-style neural network interatomic potentials. It was originally developed and is currently maintained โฆ