Audio ClassificationCode for YouTube series: Deep Learning for Audio Classification
Stars: ✭ 245 (-0.81%)
Malaya Natural Language Toolkit for bahasa Malaysia, https://malaya.readthedocs.io/
Stars: ✭ 239 (-3.24%)
DatascienceData Science in Julia course for JuliaAcademy.com, taught by Huda Nassar
Stars: ✭ 239 (-3.24%)
KdepyKernel Density Estimation in Python
Stars: ✭ 244 (-1.21%)
Recsys core[电影推荐系统] Based on the movie scoring data set, the movie recommendation system is built with FM and LR as the core(基于爬取的电影评分数据集,构建以FM和LR为核心的电影推荐系统).
Stars: ✭ 245 (-0.81%)
End2end All ConvDeep Learning to Improve Breast Cancer Detection on Screening Mammography
Stars: ✭ 236 (-4.45%)
DeeplungWACV18 paper "DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification"
Stars: ✭ 238 (-3.64%)
Aind2 CnnAIND Term 2 -- Lesson on Convolutional Neural Networks
Stars: ✭ 243 (-1.62%)
Pytorch Bert Crf NerKoBERT와 CRF로 만든 한국어 개체명인식기 (BERT+CRF based Named Entity Recognition model for Korean)
Stars: ✭ 236 (-4.45%)
Covid Chestxray DatasetWe are building an open database of COVID-19 cases with chest X-ray or CT images.
Stars: ✭ 2,759 (+1017%)
Blogfor code created as part of http://studywolf.wordpress.com
Stars: ✭ 236 (-4.45%)
Kitti tutorialTutorial for using Kitti dataset easily
Stars: ✭ 235 (-4.86%)
Taco🌮 Trash Annotations in Context Dataset Toolkit
Stars: ✭ 243 (-1.62%)
ConceptualsearchTrain a Word2Vec model or LSA model, and Implement Conceptual Search\Semantic Search in Solr\Lucene - Simon Hughes Dice.com, Dice Tech Jobs
Stars: ✭ 245 (-0.81%)
DatasetsA collection of all my datasets
Stars: ✭ 236 (-4.45%)
Mona lisa eyesA machine learning project. Turn on your webcam. Mona Lisa's eyes will follow you around.
Stars: ✭ 243 (-1.62%)
WorldmodelsAn implementation of the ideas from this paper https://arxiv.org/pdf/1803.10122.pdf
Stars: ✭ 236 (-4.45%)
YoutubeliGithub repo to upload demo files of youtube videos and linkedin
Stars: ✭ 234 (-5.26%)
Mirnet TfjsTensorFlow JS models for MIRNet for low-light image enhancement.
Stars: ✭ 145 (-41.3%)
JazzmlA (very incomplete) project that combines machine learning with music.
Stars: ✭ 235 (-4.86%)
Zhihu知乎看山杯 第二名 解决方案
Stars: ✭ 245 (-0.81%)
Dlwpt CodeCode for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
Stars: ✭ 3,054 (+1136.44%)
DeeplearningcoursecodesNotes, Codes, and Tutorials for the Deep Learning Course <which I taught at ChinaHadoop>
Stars: ✭ 241 (-2.43%)
Bayesian OptimizationPython code for bayesian optimization using Gaussian processes
Stars: ✭ 245 (-0.81%)
LasioPython library for reading and writing well data using Log ASCII Standard (LAS) files
Stars: ✭ 234 (-5.26%)
Python Script ExamplesThis repository contains my python (3) script examples that focus on use cases for Network Engineers.
Stars: ✭ 233 (-5.67%)
Yolo SeriesA series of notebooks describing how to use YOLO (darkflow) in python
Stars: ✭ 245 (-0.81%)
Rl learn我的强化学习笔记和学习材料📖 still updating ... ...
Stars: ✭ 234 (-5.26%)
DeeppicarDeep Learning Autonomous Car based on Raspberry Pi, SunFounder PiCar-V Kit, TensorFlow, and Google's EdgeTPU Co-Processor
Stars: ✭ 242 (-2.02%)
DatavisualizationTutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph
Stars: ✭ 234 (-5.26%)
Keras ElmoHow to use ELMo embeddings in Keras with Tensorflow Hub
Stars: ✭ 247 (+0%)
Jupyterwithdeclarative and reproducible Jupyter environments - powered by Nix
Stars: ✭ 235 (-4.86%)
TslabInteractive JavaScript and TypeScript programming with Jupyter
Stars: ✭ 240 (-2.83%)
PyhessianPyHessian is a Pytorch library for second-order based analysis and training of Neural Networks
Stars: ✭ 232 (-6.07%)
RecmetricsA library of metrics for evaluating recommender systems
Stars: ✭ 244 (-1.21%)
SmtSurrogate Modeling Toolbox
Stars: ✭ 233 (-5.67%)
Mltrain Nips 2017This repository contains all the material for the MLTrain NIPS workshop
Stars: ✭ 246 (-0.4%)
Dl tutorialTutorials for deep learning
Stars: ✭ 247 (+0%)
Overcoming CatastrophicImplementation of "Overcoming catastrophic forgetting in neural networks" in Tensorflow
Stars: ✭ 247 (+0%)
Scipy 2018 Sklearn Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller
Stars: ✭ 247 (+0%)
FouriertalkosconPresentation Materials for my "Sound Analysis with the Fourier Transform and Python" OSCON Talk.
Stars: ✭ 244 (-1.21%)