YaboxYet another black-box optimization library for Python
Stars: ✭ 103 (-2.83%)
Unet Segmentation In Keras TensorflowUNet is a fully convolutional network(FCN) that does image segmentation. Its goal is to predict each pixel's class. It is built upon the FCN and modified in a way that it yields better segmentation in medical imaging.
Stars: ✭ 105 (-0.94%)
SurvivalstanLibrary of Stan Models for Survival Analysis
Stars: ✭ 103 (-2.83%)
Face ClassificationFace model to classify gender and race. Trained on LFWA+ Dataset.
Stars: ✭ 104 (-1.89%)
Gen QuickstartDocker file for building Gen and Jupyter notebooks for tutorials and case studies
Stars: ✭ 104 (-1.89%)
Anomaly DetectionAnomaly detection algorithm implementation in Python
Stars: ✭ 105 (-0.94%)
Bert Loves Chemistrybert-loves-chemistry: a repository of HuggingFace models applied on chemical SMILES data for drug design, chemical modelling, etc.
Stars: ✭ 103 (-2.83%)
How to make an image classifierThis is the code for the "How to Make an Image Classifier" - Intro to Deep Learning #6 by Siraj Raval on Youtube
Stars: ✭ 103 (-2.83%)
DmmDeep Markov Models
Stars: ✭ 103 (-2.83%)
Intro To Deep Learning For NlpThe repository contains code walkthroughs which introduces Deep Learning in the field of Natural Language Processing.
Stars: ✭ 105 (-0.94%)
FmaFMA: A Dataset For Music Analysis
Stars: ✭ 1,391 (+1212.26%)
D2l Torch《动手学深度学习》 PyTorch 版本
Stars: ✭ 105 (-0.94%)
100 Pandas Puzzles100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)
Stars: ✭ 1,382 (+1203.77%)
How To Generate Art DemoThis is the code for "How to Generate Art - Intro to Deep Learning #8' by Siraj Raval on YouTube
Stars: ✭ 105 (-0.94%)
GspanPython implementation of frequent subgraph mining algorithm gSpan. Directed graphs are supported.
Stars: ✭ 103 (-2.83%)
SatimgSatellite data processing experiments
Stars: ✭ 104 (-1.89%)
MatgenbJupyter notebooks demonstrating the utilization of open-source codes for the study of materials science.
Stars: ✭ 103 (-2.83%)
Tf objectdetection apiTutorial on how to create your own object detection dataset and train using TensorFlow's API
Stars: ✭ 105 (-0.94%)
OpenomniDocumentation and library for decoding omnipod communications.
Stars: ✭ 105 (-0.94%)
Sharing isl pythonAn Introduction to Statistical Learning with Applications in PYTHON
Stars: ✭ 105 (-0.94%)
Kaggle Ds Bowl 2018 BaselineFull train/inference/submission pipeline adapted to the competition from https://github.com/matterport/Mask_RCNN
Stars: ✭ 105 (-0.94%)
Ossdc VisionbasedaccDiscuss requirments and develop code for #1-mvp-vbacc MVP (see also this channel on ossdc.org Slack)
Stars: ✭ 104 (-1.89%)
Practical Ml W PythonSource code for 'Practical Machine Learning with Python' by Dipanjan Sarkar, Raghav Bali, and Tushar Sharma
Stars: ✭ 104 (-1.89%)
BoxdetectionA Box detection algorithm for any image containing boxes.
Stars: ✭ 104 (-1.89%)
CgoesResearch by Carlos Góes
Stars: ✭ 105 (-0.94%)
Ec2 Spot WorkshopsCollection of workshops to demonstrate best practices in using Amazon EC2 Spot Instances. https://aws.amazon.com/ec2/spot/
Stars: ✭ 104 (-1.89%)
Nlp essentialsEssential and Fundametal aspects of Natural Language Processing with hands-on examples and case-studies
Stars: ✭ 104 (-1.89%)
ManipulationCourse notes for MIT manipulation class
Stars: ✭ 105 (-0.94%)
Covid 19A collection of work related to COVID-19
Stars: ✭ 1,394 (+1215.09%)
Pixel2style2pixelOfficial Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation"
Stars: ✭ 1,395 (+1216.04%)
PytorchnlpbookCode and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info
Stars: ✭ 1,390 (+1211.32%)
Ipywidgets Static[obsolete] Static Widgets for IPython Notebooks
Stars: ✭ 105 (-0.94%)
Summerschool2016Montréal Deep Learning Summer School 2016 material
Stars: ✭ 103 (-2.83%)
CenpyExplore and download data from Census APIs
Stars: ✭ 104 (-1.89%)
DndtDeep Neural Decision Trees
Stars: ✭ 103 (-2.83%)
Ml4music WorkshopMachine Learning for Music and Sound Synthesis workshop
Stars: ✭ 105 (-0.94%)
Cross Lingual Voice CloningTacotron 2 - PyTorch implementation with faster-than-realtime inference modified to enable cross lingual voice cloning.
Stars: ✭ 106 (+0%)
Intro machine learningIntroduction to Machine Learning, a series of IPython Notebook and accompanying slideshow and video
Stars: ✭ 105 (-0.94%)
DeepaiDetection of Accounting Anomalies using Deep Autoencoder Neural Networks - A lab we prepared for NVIDIA's GPU Technology Conference 2018 that will walk you through the detection of accounting anomalies using deep autoencoder neural networks. The majority of the lab content is based on Jupyter Notebook, Python and PyTorch.
Stars: ✭ 104 (-1.89%)