Covid19 twitterCovid-19 Twitter dataset for non-commercial research use and pre-processing scripts - under active development
Stars: ✭ 304 (-91.25%)
Qiskit Community TutorialsA collection of Jupyter notebooks developed by the community showing how to use Qiskit
Stars: ✭ 298 (-91.42%)
Adaptis[ICCV19] AdaptIS: Adaptive Instance Selection Network, https://arxiv.org/abs/1909.07829
Stars: ✭ 314 (-90.96%)
VimpyterEdit your Jupyter notebooks in Vim/Neovim
Stars: ✭ 308 (-91.13%)
Shapematchinggan[ICCV 2019, Oral] Controllable Artistic Text Style Transfer via Shape-Matching GAN
Stars: ✭ 315 (-90.93%)
DeepsurvDeepSurv is a deep learning approach to survival analysis.
Stars: ✭ 303 (-91.28%)
NotebooksDirectory of Jupyter notebooks exploring various topics
Stars: ✭ 315 (-90.93%)
CartolaExtração de dados da API do CartolaFC, análise exploratória dos dados e modelos preditivos em R e Python - 2014-20. [EN] Data munging, analysis and modeling of CartolaFC - the most popular fantasy football game in Brazil and maybe in the world. Data cover years 2014-19.
Stars: ✭ 304 (-91.25%)
Apricotapricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models quickly. See the documentation page: https://apricot-select.readthedocs.io/en/latest/index.html
Stars: ✭ 306 (-91.19%)
Minibook 2nd CodeCode of the IPython Minibook, 2nd edition (2015)
Stars: ✭ 303 (-91.28%)
Reinforcement LearningLearn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
Stars: ✭ 3,329 (-4.17%)
A3c tradingTrading with recurrent actor-critic reinforcement learning
Stars: ✭ 305 (-91.22%)
ClrsSome exercises and problems in Introduction to Algorithms 3rd edition.
Stars: ✭ 313 (-90.99%)
AtpbettingA strategy for tennis matches betting
Stars: ✭ 306 (-91.19%)
GdrlGrokking Deep Reinforcement Learning
Stars: ✭ 304 (-91.25%)
Cs231Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition
Stars: ✭ 317 (-90.88%)
BayesmadesimpleCode for a tutorial on Bayesian Statistics by Allen Downey.
Stars: ✭ 303 (-91.28%)
Dlcourse aiМатериалы курса Deep Learning на пальцах
Stars: ✭ 310 (-91.08%)
Scratch mlpExplaining the Math of how neural networks learn
Stars: ✭ 315 (-90.93%)
MusicautobotUsing deep learning to generate music in MIDI format.
Stars: ✭ 304 (-91.25%)
Pandas Data Science TasksSet of real world data science tasks completed using the Python Pandas library
Stars: ✭ 311 (-91.05%)
AdaptiveattentionImplementation of "Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning"
Stars: ✭ 303 (-91.28%)
Chinesenlpcorpus搜集、整理、发布 中文 自然语言处理 语料/数据集,与 有志之士 共同 促进 中文 自然语言处理 的 发展。
Stars: ✭ 3,746 (+7.83%)
Recsys项亮的《推荐系统实践》的代码实现
Stars: ✭ 306 (-91.19%)
Gan MetricsAn empirical study on evaluation metrics of generative adversarial networks.
Stars: ✭ 307 (-91.16%)
Geopandas TutorialTutorial on geospatial data manipulation with Python
Stars: ✭ 306 (-91.19%)
Thstrader量化交易。同花顺免费模拟炒股软件客户端的python API。(Python3)
Stars: ✭ 311 (-91.05%)
RandomfunNotebooks and various random fun
Stars: ✭ 304 (-91.25%)
A 2017Public Repository for cs109a, 2017 edition
Stars: ✭ 315 (-90.93%)
ZatZeek Analysis Tools (ZAT): Processing and analysis of Zeek network data with Pandas, scikit-learn, Kafka and Spark
Stars: ✭ 303 (-91.28%)
Opensleepplatform for sleep hacking and research
Stars: ✭ 304 (-91.25%)
Advanced Deep TradingMostly experiments based on "Advances in financial machine learning" book
Stars: ✭ 316 (-90.9%)
BiosentvecBioWordVec & BioSentVec: pre-trained embeddings for biomedical words and sentences
Stars: ✭ 308 (-91.13%)
IelixirJupyter's kernel for Elixir programming language
Stars: ✭ 312 (-91.02%)
Tensorflow Handbook简单粗暴 TensorFlow 2 | A Concise Handbook of TensorFlow 2 | 一本简明的 TensorFlow 2 入门指导教程
Stars: ✭ 3,616 (+4.09%)
EvidentlyInteractive reports to analyze machine learning models during validation or production monitoring.
Stars: ✭ 304 (-91.25%)
Pytorch VdsrVDSR (CVPR2016) pytorch implementation
Stars: ✭ 313 (-90.99%)
ZhihuThis repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.
Stars: ✭ 3,307 (-4.81%)