528 Open source projects that are alternatives of or similar to MiniVox

Code for the blog post "Learning Montezuma’s Revenge from a Single Demonstration"

Meta-embeddings are a probabilistic generalization of embeddings in machine learning.

Source code of the paper "Leveraging textual properties of bug reports to localize relevant source files".

Reading notes on deep learning papers---深度学习论文阅读笔记

Speaker Diarization is the problem of separating speakers in an audio. There could be any number of speakers and final result should state when speaker starts and ends. In this project, we analyze given audio file with 2 channels and 2 speakers (on separate channels).

PyTorch implementation of the InfoNCE loss for self-supervised learning.

Performance-tuned Minecraft 1.8 spigot server

The most popular Skywars plugin ever built for Spigot and Bukkit!

The official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We develop a method for analyzing emerging functional modularity in neural networks based on differentiable weight masks and use it to point out important issues in current-day neural networks.

Code accompanying the paper "Learning Permutations with Sinkhorn Policy Gradient"

A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.

Paper collection of federated learning. Conferences and Journals Collection for Federated Learning from 2019 to 2021, Accepted Papers, Hot topics and good research groups. Paper summary

(ICCV 2021) BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search

This is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip Chakraborty, Aritra Roy Gosthipaty and Sayak Paul.

A collection of paper summaries from a wide range of topics related to Machine Learning

Implementation of the paper "YOLACT Real-time Instance Segmentation" in Tensorflow 2

A lightweight python library for bandit algorithms

An open information extraction system that provides compact extractions

LSH index for approximate set containment search

Natural World Tasks

CUDA implementation of the paper "Depth Super-Resolution Meets Uncalibrated Photometric Stereo"

Official implementation of "An Algorithm for Routing Capsules in All Domains" (Heinsen, 2019) in PyTorch.

Self6D++: Occlusion-Aware Self-Supervised Monocular 6D Object Pose Estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2021.

Purpur is a drop-in replacement for Paper servers designed for configurability, and new fun and exciting gameplay features.

The official repository for our paper "The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers". We significantly improve the systematic generalization of transformer models on a variety of datasets using simple tricks and careful considerations.

Projects and useful articles / links

TACL 2020: Syntax-Guided Controlled Generation of Paraphrases

[NeurIPS 2021 Spotlight] Aligning Pretraining for Detection via Object-Level Contrastive Learning

Code for the ICPR 2020 paper: "CURL: Neural Curve Layers for Image Enhancement"

A paper list with code of lane detection.

The authors' implementation of the "Neural Head Reenactment with Latent Pose Descriptors" (CVPR 2020) paper.

Exploring Simple Siamese Representation Learning

The papers in this list are about 3d detection, especially those using point clouds.

It is a complete project of voiceprint recognition or speaker recognition.

A fork of Purpur that aims to improve performance and add FabricMC compatibility.

Awesome list for cryptographic secure computation paper. This repo includes *Lattice*, *DifferentialPrivacy*, *MPC* and also a comprehensive summary for top conferences.

Incremental Methods of Deep Learning for Detection and Classifcation in a Robotics Environment

Code for the paper "DisCont: Self-Supervised Visual Attribute Disentanglement using Context Vectors".

Proof automation – for Agda, in Agda.

Federated Principal Component Analysis Revisited!

本项目使用了EcapaTdnn模型实现的声纹识别

.pdf Format Books for Machine and Deep Learning

Research tools for analysing Cerberus banking trojan.

supervised and semi-supervised image classification with self-supervision (Keras)

텍스트 요약 분야의 주요 연구 주제, Must-read Papers, 이용 가능한 model 및 data 등을 추천 자료와 함께 정리한 저장소입니다.

Implementation of Barlow Twins paper

Fielded Sequential Dependence Model (code and runs)

Deep Atrous Guided Filter for Image Restoration in Under Display Cameras (UDC Challenge, ECCV 2020).

Speaker recognition ,Voiceprint recognition

PyTorch implementation of EMAN for self-supervised and semi-supervised learning: https://arxiv.org/abs/2101.08482

Print Markdown to a paper in your terminal

Code repository of the paper Learning Long-Term Dependencies in Irregularly-Sampled Time Series

Code for the Neural GPU model originally described in "Neural GPUs Learn Algorithms"

FSL-Mate: A collection of resources for few-shot learning (FSL).

Self-Supervised Pillar Motion Learning for Autonomous Driving (CVPR 2021)

Code for IoT Journal paper title 'ML-MCU: A Framework to Train ML Classifiers on MCU-based IoT Edge Devices'

code for our ICCV 2021 paper "DeepCAD: A Deep Generative Network for Computer-Aided Design Models"

Author's implementation of the paper "Deep Relative Attributes" (ACCV 2016)

This is a paper list about Resource Allocation in Network Functions Virtualization (NFV) and Software-Defined Networking (SDN).

Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)