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Radical AI
- New York, NY
- https://adeeshkolluru.github.io/
- @AdeeshKolluru
Stars
A GUI Agent application based on UI-TARS(Vision-Language Model) that allows you to control your computer using natural language.
Official implementation of All Atom Diffusion Transformers
Flow matching for accelerated simulation of atomic transport
Molecular dynamics simulations with an LLM agent
OpenEquivariance: a fast, open-source GPU JIT kernel generator for the Clebsch-Gordon Tensor Product.
Fully open reproduction of DeepSeek-R1
A programming framework for agentic AI 🤖 PyPi: autogen-agentchat Discord: https://aka.ms/autogen-discord Office Hour: https://aka.ms/autogen-officehour
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 c…
Sky-T1: Train your own O1 preview model within $450
Official repository for our work on micro-budget training of large-scale diffusion models.
Your AI second brain. Self-hostable. Get answers from the web or your docs. Build custom agents, schedule automations, do deep research. Turn any online or local LLM into your personal, autonomous …
A Wadler--Lindig pretty printer for Python
Examples and guides for using the Gemini API
Implementation of GotenNet, new SOTA 3d equivariant transformer, in Pytorch
Implementation of the Euclidean fast attention (EFA) algorithm
This repository implements supplementary useful functions for Python that are not part of the standard library. Examples include useful utilities like transparent support for zipped files etc.
A PyTorch library for implementing flow matching algorithms, featuring continuous and discrete flow matching implementations. It includes practical examples for both text and image modalities.
train and use graph-based ML models of potential energy surfaces
A unified platform for fine-tuning atomistic foundation models in chemistry and materials science
Machine-Learned Interatomic Potential eXploration (mlipx) is designed at BASF for evaluating machine-learned interatomic potentials (MLIPs). It offers a growing set of evaluation methods alongside …
MatterSim: A deep learning atomistic model across elements, temperatures and pressures.
Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula. Its design focuses on efficiency, expressiveness,…
[NeurIPS 2024] Official implementation of the Efficiently Scaled Attention Interatomic Potential
BioNeMo Framework: For building and adapting AI models in drug discovery at scale
cuEquivariance is a math library that is a collective of low-level primitives and tensor ops to accelerate widely-used models, like DiffDock, MACE, Allegro and NEQUIP, based on equivariant neural n…