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- Open MatSci ML Toolkit is a framework for prototyping and scaling out deep learning models for materials discovery supporting widely used materials science datasets, and built on top of PyTorch Lightning, the Deep Graph Library, and PyTorch Geometric.
rag-retrieval-study
Publicvdms
PublicfastRAG
PublicEfficient Retrieval Augmentation and Generation Framework- A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
hec-p-isa-tools
PublicIntel’s HERACLES accelerator introduces a new set of fundamental instructions, the Polynomial Instructions Set Architecture (P-ISA) that operates directly on polynomials requiring a completely new programming environment. This open-source project aims at developing the building blocks for a compiler toolchain for HERACLES.asl-interpreter
PublicInterpreter and compiler for the ISA specification language "Architecture Specification Language" (ASL)open-omics-alphafold
PublicSuperBOM
PublicEquiTriton
PublicRAG-FiT
PublicFramework for enhancing LLMs for RAG tasks using fine-tuning.multimodal_cognitive_ai
Publicscenario_execution
PublicScenario Execution for RoboticsHEC-openfhe-development
Publicpyzmq
PublickAFL
PublicFloorSet
PublicAuto-Steer
Public archiveDyNAS-T
Public archivemlwins
Public archiveIntelNeuromorphicDNSChallenge
Public archiveTSAD-Evaluator
Public archiveFP8-Emulation-Toolkit
Public archiveGraVi-T
PublicGraph learning framework for long-term video understanding