HifySocial network powered by firebase
Stars: ✭ 115 (-93.86%)
Awesome Transfer LearningBest transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)
Stars: ✭ 1,349 (-28.01%)
TeneA sparsity aware implementation of "Enhanced Network Embedding with Text Information" (ICPR 2018).
Stars: ✭ 69 (-96.32%)
Etl with pythonETL with Python - Taught at DWH course 2017 (TAU)
Stars: ✭ 68 (-96.37%)
Insta DmLearning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency (AAAI 2021)
Stars: ✭ 67 (-96.42%)
Dns DiscoveryDNS-Discovery is a multithreaded subdomain bruteforcer.
Stars: ✭ 114 (-93.92%)
SnaasTapglue Social Network as a Service (SNaaS)
Stars: ✭ 67 (-96.42%)
SspipeSimple Smart Pipe: python productivity-tool for rapid data manipulation
Stars: ✭ 96 (-94.88%)
Linkedingiveaway👨🏽🏫You can learn about anything over here. What Giveaways I do and why it's important in today's modern world. Are you interested in Giveaway's?🔋
Stars: ✭ 67 (-96.42%)
Open socialOpen Social install profile Drupal 8
Stars: ✭ 128 (-93.17%)
Jupyterlab Prodigy🧬 A JupyterLab extension for annotating data with Prodigy
Stars: ✭ 97 (-94.82%)
GroupsA Laravel 5 user groups package
Stars: ✭ 66 (-96.48%)
MicrostatusLightweight Mastodon- and GNU social-compatible ActivityPub and OStatus server implementation
Stars: ✭ 96 (-94.88%)
EasychatandroidclientEasyChat是一个开源的社交类的App。主要包含消息、好友、群组等相关的IM核心功能。部分界面参照了QQ、微信等相关社交APP。EasyChat APP整体采用MVVM模式,基于JetPack(Lifecycle,LiveData,ViewModel,Room)构建
Stars: ✭ 64 (-96.58%)
CleanlabThe standard package for machine learning with noisy labels, finding mislabeled data, and uncertainty quantification. Works with most datasets and models.
Stars: ✭ 2,526 (+34.79%)
RsparklingRSparkling: Use H2O Sparkling Water from R (Spark + R + Machine Learning)
Stars: ✭ 65 (-96.53%)
BlurrData transformations for the ML era
Stars: ✭ 96 (-94.88%)
ClusterEasy Map Annotation Clustering 📍
Stars: ✭ 1,132 (-39.59%)
Seaborn TutorialThis repository is my attempt to help Data Science aspirants gain necessary Data Visualization skills required to progress in their career. It includes all the types of plot offered by Seaborn, applied on random datasets.
Stars: ✭ 114 (-93.92%)
Weka JrubyMachine Learning & Data Mining with JRuby
Stars: ✭ 64 (-96.58%)
MachinelearningA repo with tutorials for algorithms from scratch
Stars: ✭ 96 (-94.88%)
Docker BroBro IDS Dockerfile
Stars: ✭ 126 (-93.28%)
Daily Coding ProblemSeries of the problem 💯 and solution ✅ asked by Daily Coding problem👨🎓 website.
Stars: ✭ 90 (-95.2%)
FacemashA React app to vote 👍👎!!
Stars: ✭ 64 (-96.58%)
Retina FeaturesProject for segmentation of blood vessels, microaneurysm and hardexudates in fundus images.
Stars: ✭ 95 (-94.93%)
AutowrapWrap existing D code for use in Python, Excel, C#
Stars: ✭ 64 (-96.58%)
River🌊 Online machine learning in Python
Stars: ✭ 2,980 (+59.02%)
Dev PracticePractice your skills with these ideas.
Stars: ✭ 1,127 (-39.86%)
AethosAutomated Data Science and Machine Learning library to optimize workflow.
Stars: ✭ 94 (-94.98%)
Spark AlchemyCollection of open-source Spark tools & frameworks that have made the data engineering and data science teams at Swoop highly productive
Stars: ✭ 122 (-93.49%)
PaysageUnsupervised learning and generative models in python/pytorch.
Stars: ✭ 109 (-94.18%)
Self Supervised Relational ReasoningOfficial PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning", NeurIPS 2020 Spotlight.
Stars: ✭ 89 (-95.25%)
Pythondatarepo for code published on pythondata.com
Stars: ✭ 113 (-93.97%)
Ntds 2017Material for the EPFL master course "A Network Tour of Data Science", edition 2017.
Stars: ✭ 61 (-96.74%)
Okuna Www🚀 The Okuna website code.
Stars: ✭ 127 (-93.22%)
BreakdownModel Agnostics breakDown plots
Stars: ✭ 93 (-95.04%)
DncDiscriminative Neural Clustering for Speaker Diarisation
Stars: ✭ 60 (-96.8%)
Kaggle HousepricesKaggle Kernel for House Prices competition https://www.kaggle.com/massquantity/all-you-need-is-pca-lb-0-11421-top-4
Stars: ✭ 113 (-93.97%)
Storytelling With DataCourse materials for Dartmouth Course: Storytelling with Data (PSYC 81.09).
Stars: ✭ 59 (-96.85%)
DgiTensorFlow implementation of Deep Graph Infomax
Stars: ✭ 58 (-96.91%)
SfmlearnerAn unsupervised learning framework for depth and ego-motion estimation from monocular videos
Stars: ✭ 1,661 (-11.37%)
VarietyA schema analyzer for MongoDB
Stars: ✭ 1,592 (-15.05%)
SwarmA robust and fast clustering method for amplicon-based studies
Stars: ✭ 88 (-95.3%)
Cop KmeansA Python implementation of COP-KMEANS algorithm
Stars: ✭ 88 (-95.3%)
N2dA deep clustering algorithm. Code to reproduce results for the paper N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding.
Stars: ✭ 88 (-95.3%)