This repository the paper "On the Second-order Convergence Properties of Random Search Methods", accepted at NeurIPS 2021.
If you found our research helpful please consider citing our paper:
FMFCC-A This project is the description of FMFCC-A (audio track of FMFCC) dataset and Challenge resluts. The FMFCC-A dataset is shared through BaiduCl
Panoptic NeRF Project Page | Paper | Dataset Panoptic NeRF: 3D-to-2D Label Transfer for Panoptic Urban Scene Segmentation Xiao Fu*, Shangzhan zhang*,
Auto HMM: Automatic Discrete and Continous HMM including Model selection
KLUE Baseline Korean(한국어) KLUE-baseline contains the baseline code for the Korean Language Understanding Evaluation (KLUE) benchmark. See our paper fo
Discord bot CTFD-Thread-Parser Description: This tools is used to create automat
DG-Font: Deformable Generative Networks for Unsupervised Font Generation The source code for 'DG-Font: Deformable Generative Networks for Unsupervised
Note: This repo has not been cleaned up and prepared for general consumption at all. This is just a dump of the project files. If there is any interes
Sarus published models Sarus implementation of classical ML models. The models are implemented using the Keras API of tensorflow 2. Vizualization are
Parametric-Contrastive-Learning This repository contains the implementation code for ICCV2021 paper: Parametric Contrastive Learning (https://arxiv.or
Bayesian Algorithm Execution (BAX) Code for the paper: Bayesian Algorithm Execution: Estimating Computable Properties of Black-box Functions Using Mut
Creating Multi Task Models With Keras About The Project! I used the keras and Tensorflow Library, To build a Deep Learning Neural Network to Creating
M1-tensorflow-benchmark TensorFlow (v2.7.0) benchmark results on an M1 Macbook Air 2020 laptop (macOS Monterey v12.1). I was initially testing if Tens
Synthetic Control Methods A Python package for causal inference using synthetic controls This Python package implements a class of approaches to estim
Code for "Zero-shot Learning by Generating Task-specific Adapters" This is the repository containing code for "Zero-shot Learning by Generating Task-s
OOD-on-NAE Research project on out of distribution detection for the Computer Vision course by Prof. Rob Fergus (CSCI-GA 2271) Paper out on arXiv - ht
BIG.art: Using Machine Learning to Create High-Res Fine Art How to use GLIDE and BSRGAN to create ultra-high-resolution paintings with fine details By
Molecular Sets (MOSES): A benchmarking platform for molecular generation models Deep generative models are rapidly becoming popular for the discovery
Keras-ICNet [paper] Keras implementation of Real-Time Semantic Segmentation on High-Resolution Images. Training in progress! Requisites Python 3.6.3 K
NNProject - DeepMask This is a Keras-based Python implementation of DeepMask- a complex deep neural network for learning object segmentation masks. Th
LiconIA Framework that uses artificial intelligence applied to mathematical models to make predictions Interface Overview Table of contents [TOC] 1 Ar
18 Dec 24, 2022
111 Dec 16, 2022
29 Dec 07, 2022
74 Dec 13, 2022
15 Mar 22, 2022
130 Dec 05, 2022
41 Dec 31, 2022
39 Aug 19, 2022
156 Dec 21, 2022
38 Dec 08, 2022
4 Nov 28, 2022
2 Jan 05, 2022
107 Dec 28, 2022
11 Dec 17, 2021
1 Jun 08, 2022
13 Nov 27, 2022
656 Dec 29, 2022
87 Dec 16, 2022
189 Nov 16, 2022
4 Jun 20, 2021