Relaxed Machines
Explorations in neuro-symbolic differentiable interpreters.
Baby steps:
Libraries
Resources
- Chapter 3 (∂4: A Differentiable Forth Interpreter) of Matko Bošnjak's Ph.D thesis, On Differentiable Interpreters, UCL, 2021.
Relaxed-machines - explorations in neuro-symbolic differentiable interpreters
Overview
Benchmark for the generalization of 3D machine learning models across different remeshing/samplings of a surface.
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OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
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A set of tools for Namebase and HNS
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FedJAX is a library for developing custom Federated Learning (FL) algorithms in JAX.
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Python scripts form performing stereo depth estimation using the CoEx model in ONNX.
ONNX-CoEx-Stereo-Depth-estimation Python scripts form performing stereo depth estimation using the CoEx model in ONNX. Stereo depth estimation on the
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DANA paper supplementary materials
DANA Supplements This repository stores the data, results, and R scripts to generate these reuslts and figures for the corresponding paper Depth Norma
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Machine Learning University: Accelerated Computer Vision Class
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A library for uncertainty quantification based on PyTorch
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The project was to detect traffic signs, based on the Megengine framework.
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Pretraining Representations For Data-Efficient Reinforcement Learning
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Omnidirectional camera calibration in python
Omnidirectional Camera Calibration Key features pure python initial solution based on A Toolbox for Easily Calibrating Omnidirectional Cameras (Davide
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Churn prediction
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Self-Supervised Speech Pre-training and Representation Learning Toolkit.
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Weakly Supervised 3D Object Detection from Point Cloud with Only Image Level Annotation
SCCKTIM Weakly Supervised 3D Object Detection from Point Cloud with Only Image-Level Annotation Our code will be available soon. The class knowledge t
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Code & Models for 3DETR - an End-to-end transformer model for 3D object detection
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Learning kernels to maximize the power of MMD tests
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PyTorch Implementations for DeeplabV3 and PSPNet
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Surrogate- and Invariance-Boosted Contrastive Learning (SIB-CL) This repository contains all source code used to generate the results in the article "
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Voxel-based Network for Shape Completion by Leveraging Edge Generation (ICCV 2021, oral)
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This is the official code for the paper "Learning with Nested Scene Modeling and Cooperative Architecture Search for Low-Light Vision"
RUAS This is the official code for the paper "Learning with Nested Scene Modeling and Cooperative Architecture Search for Low-Light Vision" A prelimin
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