Highlights
- Pro
Stars
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
⚛️ A module for solving and visualizing the Schrödinger equation.
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
A framework for managing and maintaining multi-language pre-commit hooks.
A collection of Nerual Network Models for chemistry
An extremely fast Python package and project manager, written in Rust.
A highly optimized library for building markov random fields with pytorch.
GPU & Accelerator process monitoring for AMD, Apple, Huawei, Intel, NVIDIA and Qualcomm
NeuralPLexer: State-specific protein-ligand complex structure prediction with a multi-scale deep generative model
High-Performance Symbolic Regression in Python and Julia
Implementation of plug in and play Attention from "LongNet: Scaling Transformers to 1,000,000,000 Tokens"
Implementation of Alpha Fold 3 from the paper: "Accurate structure prediction of biomolecular interactions with AlphaFold3" in PyTorch
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. All in a modern, AI-native editor.
Learning from synthetic data - code and models
PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)
A simple to use pytorch wrapper for contrastive self-supervised learning on any neural network
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
16-bit CPU for Excel, and related files
gRNAde: Geometric Deep Learning for 3D RNA inverse design (ICLR 2025 Spotlight)
Biological foundation modeling from molecular to genome scale
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Paper reading run from 17. Jan 2024 - 17. Apr 2024
Documentation behind the model used to analyse companies in Simply Wall St