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academic-budget-bert

Repository containing code for "How to Train BERT with an Academic Budget" paper

ais-benchmarks

A framework, based on python and numpy, for evaluation of sampling methods

alto

A template-based implementation of the Adaptive Linearized Tensor Order (ALTO) format for storing and processing sparse tensors.

approximate-bayesian-inference

aqtnd

Automated quantum tensor network design

aspect-extraction

Pattern Based Aspect Term Extraction

auto-steer

Auto-Steer

automated-retraining-framework

autonomousmavs

Framework for Autonomous Navigation of Micro Aerial Vehicles

avuc

Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.

baa-ngp

This repository contains the official Implementation for "BAA-NGP: Bundle-Adjusting Accelerated Neural Graphics Primitives".

bayesian-torch

A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch

branch-target-injection-gadget-finder

c3-glibc

c3-linux

c3-llvm

c3-perf-simulator

c3-simulator

C3-Simulator is a Simics-based functional simulator for the X86 C3 processor, including library and kernel support for pointer and data encryption, stack unwinding support for C++ exception handling, debugger enabling, and scripting for running tests.

causality-lab

Causal discovery algorithms and tools for implementing new ones

chromium-mem-safety

clnerf

coach

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

compilertools.jl

The CompilerTools package, part of the High Performance Scripting project at Intel Labs

confflow

continuallearning

control-flag

A system to flag anomalous source code expressions by learning typical expressions from training data

convassist

csg

IV 2020 "CSG: Critical Scenario Generation from Real Traffic Accidents"

datsa

DATSA

dfm

DFM (Deep Feature Modeling) is an efficient and principled method for out-of-distribution detection, novelty and anomaly detection.