Pulmonary Nodules MaskrcnnMask R-CNN for Pulmonary Nodules Diagnosis, using TensorFlow 天池医疗AI大赛:Mask R-CNN肺部结节智能检测(Segmentation + Classification)
Stars: ✭ 180 (-92.41%)
ThinkdspThink DSP: Digital Signal Processing in Python, by Allen B. Downey.
Stars: ✭ 2,485 (+4.81%)
Gate Decorator PruningCode for the NuerIPS'19 paper "Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks"
Stars: ✭ 170 (-92.83%)
Anime Gan TensorflowThe BIGGAN based Anime generation implemented with tensorflow. All training data has been open sourced.
Stars: ✭ 180 (-92.41%)
AudiosignalprocessingformlCode and slides of my YouTube series called "Audio Signal Proessing for Machine Learning"
Stars: ✭ 169 (-92.87%)
Umich Eecs545 LecturesThis repository contains the lecture materials for EECS 545, a graduate course in Machine Learning, at the University of Michigan, Ann Arbor.
Stars: ✭ 186 (-92.16%)
Fastai oldOLD REPO - PLEASE USE fastai/fastai
Stars: ✭ 169 (-92.87%)
Andrew Ng NotesThis is Andrew NG Coursera Handwritten Notes.
Stars: ✭ 180 (-92.41%)
Tf TutorialsTutorials for deep learning course here:
Stars: ✭ 169 (-92.87%)
Motion AiAI assisted motion detection for Home Assistant
Stars: ✭ 169 (-92.87%)
Deeplearning.ai该存储库包含由deeplearning.ai提供的相关课程的个人的笔记和实现代码。
Stars: ✭ 181 (-92.37%)
ChoochooTraining Diary
Stars: ✭ 186 (-92.16%)
Introduction To Data Science In PythonThis repository contains Ipython notebooks of assignments and tutorials used in the course introduction to data science in python, part of Applied Data Science using Python Specialization from University of Michigan offered by Coursera
Stars: ✭ 179 (-92.45%)
Deeplearning.ai Andrewngdeeplearning.ai , By Andrew Ng, All slide and notebook + data + solutions and video link
Stars: ✭ 165 (-93.04%)
InfiniteboostInfiniteBoost: building infinite ensembles with gradient descent
Stars: ✭ 180 (-92.41%)
Keraspp코딩셰프의 3분 딥러닝, 케라스맛
Stars: ✭ 178 (-92.49%)
Python For DevelopersThis book is geared toward those who already have programming knowledge. It covers topics that include: creation of user interfaces, computer graphics, internet applications, distributed systems, among other issues.
Stars: ✭ 167 (-92.96%)
Activitynet 2016 CvprwTools to participate in the ActivityNet Challenge 2016 (NIPSW 2016)
Stars: ✭ 191 (-91.94%)
Sql magicMagic functions for using Jupyter Notebook with Apache Spark and a variety of SQL databases.
Stars: ✭ 167 (-92.96%)
Graph attention poolAttention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)
Stars: ✭ 186 (-92.16%)
Relation Classification Using Bidirectional Lstm TreeTensorFlow Implementation of the paper "End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures" and "Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths" for classifying relations
Stars: ✭ 167 (-92.96%)
GermanwordembeddingsToolkit to obtain and preprocess german corpora, train models using word2vec (gensim) and evaluate them with generated testsets
Stars: ✭ 189 (-92.03%)
PapergraphAI/ML citation graph with postgres + graphql
Stars: ✭ 178 (-92.49%)
PyesnEcho State Networks in Python
Stars: ✭ 185 (-92.2%)
WwcodedatascienceContent, Code & Resources for WWCodeDataScience Events https://www.womenwhocode.com/datascience
Stars: ✭ 167 (-92.96%)
LisrdLocal Invariance Selection at Runtime for Descriptors (LISRD)
Stars: ✭ 166 (-93%)
Tensorflow TutorialPractical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE
Stars: ✭ 1,954 (-17.59%)
NeuralimagesynthesisCode to reproduce the results from the paper "Controlling Perceptual Factors in Neural Style Transfer" (https://arxiv.org/abs/1611.07865).
Stars: ✭ 165 (-93.04%)
HunterA threat hunting / data analysis environment based on Python, Pandas, PySpark and Jupyter Notebook.
Stars: ✭ 166 (-93%)
CatdcganA DCGAN that generate Cat pictures 🐱💻
Stars: ✭ 177 (-92.53%)
One Hundred Layers TiramisuKeras Implementation of The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation by (Simon Jégou, Michal Drozdzal, David Vazquez, Adriana Romero, Yoshua Bengio)
Stars: ✭ 193 (-91.86%)
ExtendedtinyfacesDetecting and counting small objects - Analysis, review and application to counting
Stars: ✭ 193 (-91.86%)
FacenetFaceNet for face recognition using pytorch
Stars: ✭ 192 (-91.9%)
PersonalContains Jupyter Notebooks of stuff I am working on.
Stars: ✭ 190 (-91.99%)
JuliacoursenotebooksJupyter notebooks for the Julia Scientific Programming course on Coursera
Stars: ✭ 187 (-92.11%)
Ce7454 2019Deep learning course CE7454, 2019
Stars: ✭ 182 (-92.32%)
IminuitJupyter-friendly Python interface for C++ MINUIT2
Stars: ✭ 172 (-92.75%)