Bugsite IndexIndex of websites publishing bugs along the lines of heartbleed.com
Stars: ✭ 38 (-96.21%)
Hackathons solutionFind the solution of machine learning competitions I am participating.
Stars: ✭ 40 (-96.01%)
Eci2019 DrlCurso sobre Aprendizaje Profundo por Refuerzo en ECI 2019
Stars: ✭ 41 (-95.91%)
Bottom Up AttentionBottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome
Stars: ✭ 989 (-1.4%)
PixiedustPython Helper library for Jupyter Notebooks
Stars: ✭ 998 (-0.5%)
FacerecogFace Recognition using Neural Networks implemented using Keras
Stars: ✭ 39 (-96.11%)
Gan HeightmapsProcedural terrain generation for video games has been traditionally been done with smartly designed but handcrafted algorithms that generate heightmaps. We propose a first step toward the learning and synthesis of these using recent advances in deep generative modelling with openly available satellite imagery from NASA.
Stars: ✭ 40 (-96.01%)
Pr NetNon-Rigid Point Set Registration Networks
Stars: ✭ 38 (-96.21%)
KaggleDueApe数据科学,Kaggle代码资源分享
Stars: ✭ 38 (-96.21%)
Fsdl Text Recognizer ProjectThe source repository is at https://github.com/full-stack-deep-learning/fsdl-text-recognizer
Stars: ✭ 1,005 (+0.2%)
Depictioninterpret deep learning models in a framework-independent fashion
Stars: ✭ 38 (-96.21%)
Word2vec Russian NovelsInspired by word2vec-pride-vis the replacement of words of Russian most valuable novels text with closest word2vec model words. By Boris Orekhov
Stars: ✭ 39 (-96.11%)
PythonforjournalistsNotebooks and files for the Python for Journalists course on Datajournalism.com
Stars: ✭ 41 (-95.91%)
Stanfordextra12k labelled instances of dogs in-the-wild with 2D keypoint and segmentations. Dataset released with our ECCV 2020 paper: Who Left the Dogs Out? 3D Animal Reconstruction with Expectation Maximization in the Loop.
Stars: ✭ 38 (-96.21%)
Netsci ProjectNetwork Analysis for Financial Markets
Stars: ✭ 39 (-96.11%)
Tensorflow1머신러닝야학 - 텐서플로우1 수업을 위한 코드입니다.
Stars: ✭ 38 (-96.21%)
Oreilly Pytorch🔥 Introductory PyTorch tutorials with OReilly Media.
Stars: ✭ 40 (-96.01%)
Python Berkeleypython resources of berkeley curated at a place
Stars: ✭ 37 (-96.31%)
Computer VisionComputer vision sabbatical study materials
Stars: ✭ 39 (-96.11%)
GoquSQL builder and query library for golang
Stars: ✭ 984 (-1.89%)
Optimus🚚 Agile Data Preparation Workflows made easy with dask, cudf, dask_cudf and pyspark
Stars: ✭ 986 (-1.69%)
Dashboards[RETIRED] See Voilà as a supported replacement
Stars: ✭ 986 (-1.69%)
SrcSources for some videos
Stars: ✭ 40 (-96.01%)
Fogglea script that takes posts from reddit.com/r/explainlikeimfive and enters them as a google search, so as to blur your history search
Stars: ✭ 37 (-96.31%)
Esper TvEsper instance for TV news analysis
Stars: ✭ 37 (-96.31%)
Rppg PosRemote photoplethysmography measures heart rate of a person without any contact, from their video. This is an implementation of rPPG called as Plane Orthogonal-to-Skin (POS) as described in the IEEE paper - "Algorithmic Principles of Remote PPG," W. Wang, A. C. den Brinker, S. Stuijk and G. de Haan.
Stars: ✭ 41 (-95.91%)
Cs231n 2017My own solutions for Stanford CS231n (2017) assignments
Stars: ✭ 40 (-96.01%)
Urban Sound ClassificationUrban sound source tagging from an aggregation of four second noisy audio clips via 1D and 2D CNN (Xception)
Stars: ✭ 39 (-96.11%)
Plate scatac SeqA rapid and robust plate-based single cell ATAC-seq (scATAC-seq) method
Stars: ✭ 37 (-96.31%)
Sqlstyle.guideA consistent code style guide for SQL to ensure legible and maintainable projects
Stars: ✭ 994 (-0.9%)
Bus numberUp Your Bus Number: A Primer for Reproducible Data Science
Stars: ✭ 37 (-96.31%)
Data utilitiesUtilities for processing the xView 2018 dataset (i.e., xview1)
Stars: ✭ 40 (-96.01%)
BrmpBayesian Regression Models in Pyro
Stars: ✭ 38 (-96.21%)
GdynetUnsupervised learning of atomic scale dynamics from molecular dynamics.
Stars: ✭ 37 (-96.31%)
Hyperbolic zslHyperbolic Visual Embedding Learning for Zero-Shot Recognition (CVPR 2020)
Stars: ✭ 39 (-96.11%)
Ealstm regional modelingAccompanying code for our HESS paper "Towards learning universal, regional, and local hydrological behaviors via machine learning applied to large-sample datasets"
Stars: ✭ 37 (-96.31%)
Ijcai2019 NamlThe codes of Neural News Recommendation with Attentive Multi-view Learning
Stars: ✭ 37 (-96.31%)
Ibmi Oss ExamplesA set of examples for using open source tools on IBM i
Stars: ✭ 41 (-95.91%)