PytorchmedicalaiThis is the hands-on deep learning tutorial series for the 2018/2019 Medical AI course by DeepOncology AI.
Stars: ✭ 155 (-2.52%)
Covid 19 Data ScienceWelcome to Glacier Data Project. A post-wuhan2020 project for data science
Stars: ✭ 152 (-4.4%)
Vae SeqVariational Auto-Encoders in a Sequential Setting.
Stars: ✭ 145 (-8.81%)
RlossRegularized Losses (rloss) for Weakly-supervised CNN Segmentation
Stars: ✭ 145 (-8.81%)
Dss Pytorch⭐️ PyTorch implement of Deeply Supervised Salient Object Detection with Short Connection
Stars: ✭ 158 (-0.63%)
Pikachu DetectionDetecting Pikachu on Android using Tensorflow Object Detection API
Stars: ✭ 157 (-1.26%)
StocksPrograms for stock prediction and evaluation
Stars: ✭ 155 (-2.52%)
IpyplotIPyPlot is a small python package offering fast and efficient plotting of images inside Python Notebooks. It's using IPython with HTML for faster, richer and more interactive way of displaying big numbers of images.
Stars: ✭ 152 (-4.4%)
Machinelearning AzRepositorio del Curso de Machine Learning de la A a la Z con R y Python
Stars: ✭ 144 (-9.43%)
Scipy con 2019Tutorial Sessions for SciPy Con 2019
Stars: ✭ 142 (-10.69%)
PyrevolutionPython tutorials and puzzles to share with the world!
Stars: ✭ 151 (-5.03%)
Mlmodelsmlmodels : Machine Learning and Deep Learning Model ZOO for Pytorch, Tensorflow, Keras, Gluon models...
Stars: ✭ 145 (-8.81%)
Your First Kaggle SubmissionHow to perform an exploratory data analysis on the Kaggle Titanic dataset and make a submission to the leaderboard.
Stars: ✭ 155 (-2.52%)
Nbviewernbconvert as a web service: Render Jupyter Notebooks as static web pages
Stars: ✭ 1,954 (+1128.93%)
Google2csvGoogle2Csv a simple google scraper that saves the results on a csv/xlsx/jsonl file
Stars: ✭ 145 (-8.81%)
Introduccion a python Curso onlineRepositorio en el que se encontrarán diversos materiales, códigos, videos y ejercicios para el aprendizaje del lenguaje Python.
Stars: ✭ 145 (-8.81%)
Picanet ImplementationPytorch Implementation of PiCANet: Learning Pixel-wise Contextual Attention for Saliency Detection
Stars: ✭ 157 (-1.26%)
DavsodShifting More Attention to Video Salient Objection Detection, CVPR 2019 (Best paper finalist & Oral)
Stars: ✭ 155 (-2.52%)
Machine Learning With PythonPractice and tutorial-style notebooks covering wide variety of machine learning techniques
Stars: ✭ 2,197 (+1281.76%)
PyengPython for engineers
Stars: ✭ 144 (-9.43%)
Ipython NotebooksInformal IPython experiments and tutorials. TensorFlow, machine learning/deep learning/RL, NLP applications.
Stars: ✭ 144 (-9.43%)
Rl Stock📈 如何用深度强化学习自动炒股
Stars: ✭ 2,090 (+1214.47%)
Tf2 courseNotebooks for my "Deep Learning with TensorFlow 2 and Keras" course
Stars: ✭ 1,826 (+1048.43%)
NbashotsNBA shot charts using matplotlib, seaborn, and bokeh.
Stars: ✭ 144 (-9.43%)
Pytorch GanA minimal implementaion (less than 150 lines of code with visualization) of DCGAN/WGAN in PyTorch with jupyter notebooks
Stars: ✭ 150 (-5.66%)
PycroscopyScientific analysis of nanoscale materials imaging data
Stars: ✭ 144 (-9.43%)
AsapASAP: Prioritizing Attention via Time Series Smoothing
Stars: ✭ 151 (-5.03%)
Cs231nhomework for CS231n 2017
Stars: ✭ 144 (-9.43%)
Machine Learning Workflow With PythonThis is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation
Stars: ✭ 157 (-1.26%)
PyportfoliooptFinancial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
Stars: ✭ 2,502 (+1473.58%)
Python camppython code for pratice
Stars: ✭ 144 (-9.43%)
Multihead Siamese NetsImplementation of Siamese Neural Networks built upon multihead attention mechanism for text semantic similarity task.
Stars: ✭ 144 (-9.43%)
UnetU-Net Biomedical Image Segmentation
Stars: ✭ 144 (-9.43%)
DeepreinforcementlearningA replica of the AlphaZero methodology for deep reinforcement learning in Python
Stars: ✭ 1,898 (+1093.71%)
Fast Neural StylePytorch Implementation of Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Stars: ✭ 151 (-5.03%)
AlphatradingAn workflow in factor-based equity trading, including factor analysis and factor modeling. For well-established factor models, I implement APT model, BARRA's risk model and dynamic multi-factor model in this project.
Stars: ✭ 144 (-9.43%)
Face RecognitionFace recognition and its application as attendance system
Stars: ✭ 143 (-10.06%)
Elmo TutorialA short tutorial on Elmo training (Pre trained, Training on new data, Incremental training)
Stars: ✭ 145 (-8.81%)
Openedu📚 The Open Source Education Initiative – a repository with resources for 60+ engineering subjects. Let's make education more open and accessible! 🚀✨
Stars: ✭ 156 (-1.89%)
Neural Style TransferKeras Implementation of Neural Style Transfer from the paper "A Neural Algorithm of Artistic Style" (http://arxiv.org/abs/1508.06576) in Keras 2.0+
Stars: ✭ 2,000 (+1157.86%)