concept-based-xaiLibrary implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI
Stars: ✭ 41 (+0%)
HiCMD[CVPR2020] Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Identification
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hydra-zenPythonic functions for creating and enhancing Hydra applications
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CodesearchnetDatasets, tools, and benchmarks for representation learning of code.
Stars: ✭ 1,378 (+3260.98%)
TCEThis repository contains the code implementation used in the paper Temporally Coherent Embeddings for Self-Supervised Video Representation Learning (TCE).
Stars: ✭ 51 (+24.39%)
PointglrGlobal-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds (CVPR 2020)
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linguistic-style-transfer-pytorchImplementation of "Disentangled Representation Learning for Non-Parallel Text Style Transfer(ACL 2019)" in Pytorch
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DeclutrThe corresponding code from our paper "DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations". Do not hesitate to open an issue if you run into any trouble!
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Srl ZooState Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox
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Disentangling VaeExperiments for understanding disentanglement in VAE latent representations
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Fun-with-MNISTPlaying with MNIST. Machine Learning. Generative Models.
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DisContCode for the paper "DisCont: Self-Supervised Visual Attribute Disentanglement using Context Vectors".
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Multi object datasetsMulti-object image datasets with ground-truth segmentation masks and generative factors.
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srVAEVAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.
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amrOfficial adversarial mixup resynthesis repository
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Awesome VaesA curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
Stars: ✭ 418 (+919.51%)
continuous BernoulliThere are C language computer programs about the simulator, transformation, and test statistic of continuous Bernoulli distribution. More than that, the book contains continuous Binomial distribution and continuous Trinomial distribution.
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autoencoders tensorflowAutomatic feature engineering using deep learning and Bayesian inference using TensorFlow.
Stars: ✭ 66 (+60.98%)
FundamentalsQuantifierA tool that allows you to visually compare the fundamentals of over 6,000 companies.
Stars: ✭ 195 (+375.61%)
aws-ec2-sg-exporterA dockerized Prometheus exporter that compares desired/wanted IPv4/IPv6 CIDR against currently applied inbound CIDR rules in your security group(s).
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SER-datasetsA collection of datasets for the purpose of emotion recognition/detection in speech.
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react-tabllistReact-based customizable style table or list components that support event and callback functions.
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gestopA tool to navigate the desktop with hand gestures. Builds on mediapipe.
Stars: ✭ 20 (-51.22%)
StackedDAEStacked Denoising AutoEncoder based on TensorFlow
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pytorch tempestMy repo for training neural nets using pytorch-lightning and hydra
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opendatasetsA Python library for downloading datasets from Kaggle, Google Drive, and other online sources.
Stars: ✭ 161 (+292.68%)
finetunerFinetuning any DNN for better embedding on neural search tasks
Stars: ✭ 442 (+978.05%)
dplace-dataThe data repository for the D-PLACE Project (Database of Places, Language, Culture and Environment)
Stars: ✭ 49 (+19.51%)
RData.jlRead R data files from Julia
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DiffuseVAEA combination of VAE's and Diffusion Models for efficient, controllable and high-fidelity generation from low-dimensional latents
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rideTraining wheels, side rails, and helicopter parent for your Deep Learning projects in Pytorch
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learning-to-drive-in-5-minutesImplementation of reinforcement learning approach to make a car learn to drive smoothly in minutes
Stars: ✭ 227 (+453.66%)
s3 exporterExports Prometheus metrics about S3 buckets and objects
Stars: ✭ 65 (+58.54%)
CHyVAECode for our paper -- Hyperprior Induced Unsupervised Disentanglement of Latent Representations (AAAI 2019)
Stars: ✭ 18 (-56.1%)
RG-FlowThis is project page for the paper "RG-Flow: a hierarchical and explainable flow model based on renormalization group and sparse prior". Paper link: https://arxiv.org/abs/2010.00029
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entity-embedPyTorch library for transforming entities like companies, products, etc. into vectors to support scalable Record Linkage / Entity Resolution using Approximate Nearest Neighbors.
Stars: ✭ 96 (+134.15%)
databrewerThe missing datasets manager. Like hombrew but for datasets. CLI-tool for search and discover datasets!
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contiguous-succotashRecurrent Variational Autoencoder with Dilated Convolutions that generates sequential data implemented in pytorch
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resotoResoto - Find leaky resources, manage quota limits, detect drift, and clean up!
Stars: ✭ 562 (+1270.73%)
TSForecastingThis repository contains the implementations related to the experiments of a set of publicly available datasets that are used in the time series forecasting research space.
Stars: ✭ 53 (+29.27%)
download audioset📁 This repo makes it easy to download the raw audio files from AudioSet (32.45 GB, 632 classes).
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factorized[ICLR 2019] Learning Factorized Multimodal Representations
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classyclassy is a simple-to-use library for building high-performance Machine Learning models in NLP.
Stars: ✭ 61 (+48.78%)
kamon-akka-httpKamon integration for metrics, context and distributed tracing with Akka HTTP
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powerplanNo description or website provided.
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metricsIS, FID score Pytorch and TF implementation, TF implementation is a wrapper of the official ones.
Stars: ✭ 91 (+121.95%)
MetricLearning-mnist-pytorchPlayground of Metric Learning with MNIST @pytorch. We provide ArcFace, CosFace, SphereFace, CircleLoss and visualization.
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ck-envCK repository with components and automation actions to enable portable workflows across diverse platforms including Linux, Windows, MacOS and Android. It includes software detection plugins and meta packages (code, data sets, models, scripts, etc) with the possibility of multiple versions to co-exist in a user or system environment:
Stars: ✭ 67 (+63.41%)
panoptic partsThis repository contains code and tools for reading, processing, evaluating on, and visualizing Panoptic Parts datasets. Moreover, it contains code for reproducing our CVPR 2021 paper results.
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Okanshimvno.github.io/okanshi
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prosoulAutomatic Project Assessment and Visualization based on Quality Models
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simclr-pytorchPyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results
Stars: ✭ 89 (+117.07%)
resilience4clj-circuitbreakerResilience4Clj circuit breaker lets you decorate a function call (usually with a potential of external failure) with a safety mechanism to interrupt the propagation of failures.
Stars: ✭ 40 (-2.44%)