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Fully Open Language Models with Stellar Performance
Madrigal: Multimodal AI predicts clinical outcomes of drug combinations from preclinical data
Docker image and metaflow scripts for running the boltz-1 molecular structure predictor
TorchX is a universal job launcher for PyTorch applications. TorchX is designed to have fast iteration time for training/research and support for E2E production ML pipelines when you're ready.
High Performance Web Platform Based on Nginx and LuaJIT
A high-performance distributed file system designed to address the challenges of AI training and inference workloads.
A lightweight data processing framework built on DuckDB and 3FS.
DeepGEMM: clean and efficient FP8 GEMM kernels with fine-grained scaling
The latent data assimilation methods for global atmosphere with the resolution of 1.41 degree.
An SKLearn-style toolbox for estimating and analyzing models, distributions, and functions with context-specific parameters.
AIDO.ModelGenerator is a software stack powering the development of an AI-driven Digital Organism (AIDO) by enabling researchers to adapt pretrained models and generate finetuned models for downstr…
AI-Driven Digital Organism (AIDO) is a system of multiscale foundation models for predicting, simulating and programming biology at all levels
Inference code for scalable emulation of protein equilibrium ensembles with generative deep learning
Extensible Surrogate Potential of Ab initio Learned and Optimized by Message-passing Algorithm 🍹https://arxiv.org/abs/2010.01196
Pretraining infrastructure for research and application of convolutional multi-hybrid models (StripedHyena 2).
This repository contains implementations of computational primitives for convolutional multi-hybrid models and layers: Hyena-[SE, MR, LI], StripedHyena 2, Evo 2.
Genome modeling and design across all domains of life
Discovering Data-driven Hypotheses in the Wild
Scaling inference-time compute for LLM-as-a-judge, automated evaluations, guardrails, and reinforcement learning.
Automated Hypothesis Testing with Agentic Sequential Falsifications
A Modular Architecture for Deep Learning Systems
an open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM
Controllable Sequence Editing for Counterfactual Generation