DagmmMy attempt at reproducing the paper Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection
Stars: ✭ 231 (-7.23%)
Kekoxtutorial전 세계의 멋진 케라스 문서 및 튜토리얼을 한글화하여 케라스x코리아를 널리널리 이롭게합니다.
Stars: ✭ 213 (-14.46%)
PomegranateFast, flexible and easy to use probabilistic modelling in Python.
Stars: ✭ 2,789 (+1020.08%)
Tensorflow Without A PhdA crash course in six episodes for software developers who want to become machine learning practitioners.
Stars: ✭ 2,488 (+899.2%)
Neural Network From ScratchEver wondered how to code your Neural Network using NumPy, with no frameworks involved?
Stars: ✭ 230 (-7.63%)
Neural decodingA python package that includes many methods for decoding neural activity
Stars: ✭ 212 (-14.86%)
DeeptexturesCode to synthesise textures using convolutional neural networks as described in Gatys et al. 2015 (http://arxiv.org/abs/1505.07376)
Stars: ✭ 241 (-3.21%)
TfwssWeakly Supervised Segmentation with Tensorflow. Implements instance segmentation as described in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).
Stars: ✭ 212 (-14.86%)
Hamiltonian NnCode for our paper "Hamiltonian Neural Networks"
Stars: ✭ 229 (-8.03%)
Courseworksummer school coursework
Stars: ✭ 249 (+0%)
Drn cvpr2020Code and Dataset for CVPR2020 "Dynamic Refinement Network for Oriented and Densely Packed Object Detection"
Stars: ✭ 212 (-14.86%)
Numerical Linear Algebra V2Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program
Stars: ✭ 241 (-3.21%)
DeepconvlstmDeep learning framework for wearable activity recognition based on convolutional and LSTM recurretn layers
Stars: ✭ 211 (-15.26%)
Quantiacs PythonPython version of Quantiacs toolbox and sample trading strategies
Stars: ✭ 230 (-7.63%)
MldlMachine Learning and Deep Learning Resources
Stars: ✭ 211 (-15.26%)
Coloring T SneExploration of methods for coloring t-SNE.
Stars: ✭ 211 (-15.26%)
FusenetDeep fusion project of deeply-fused nets, and the study on the connection to ensembling
Stars: ✭ 230 (-7.63%)
Sc17SuperComputing 2017 Deep Learning Tutorial
Stars: ✭ 211 (-15.26%)
Algforopt NotebooksJupyter notebooks associated with the Algorithms for Optimization textbook
Stars: ✭ 210 (-15.66%)
Comp Genomics ClassCode and examples for JHU Computational Genomics class
Stars: ✭ 228 (-8.43%)
AcademyRay tutorials from Anyscale
Stars: ✭ 210 (-15.66%)
Dl tutorialTutorials for deep learning
Stars: ✭ 247 (-0.8%)
Intro Numerical MethodsJupyter notebooks and other materials developed for the Columbia course APMA 4300
Stars: ✭ 210 (-15.66%)
Tacotron2Tacotron 2 - PyTorch implementation with faster-than-realtime inference
Stars: ✭ 3,300 (+1225.3%)
Exerciseexercise for nndl
Stars: ✭ 2,649 (+963.86%)
Box Plots SklearnAn implementation of some of the tools used by the winner of the box plots competition using scikit-learn.
Stars: ✭ 245 (-1.61%)
Snap N EatFood detection and recommendation with deep learning
Stars: ✭ 229 (-8.03%)
Text ClassificationMachine Learning and NLP: Text Classification using python, scikit-learn and NLTK
Stars: ✭ 239 (-4.02%)
Cd4ml WorkshopRepository with sample code and instructions for "Continuous Intelligence" and "Continuous Delivery for Machine Learning: CD4ML" workshops
Stars: ✭ 229 (-8.03%)
Python BootcampPython Bootcamp docs and lectures (UC Berkeley)
Stars: ✭ 208 (-16.47%)
Naucse.python.czWebsite with learning materials / Stránka s učebními materiály
Stars: ✭ 248 (-0.4%)
Pytorch Transformers ClassificationBased on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for employing Transformer models in text classification tasks. Contains code to easily train BERT, XLNet, RoBERTa, and XLM models for text classification.
Stars: ✭ 229 (-8.03%)
DeepreplayDeep Replay - Generate visualizations as in my "Hyper-parameters in Action!" series!
Stars: ✭ 240 (-3.61%)
Nlp Stars: ✭ 229 (-8.03%)
Covid19zaCoronavirus COVID-19 (2019-nCoV) Data Repository and Dashboard for South Africa
Stars: ✭ 208 (-16.47%)
Link PredictionRepresentation learning for link prediction within social networks
Stars: ✭ 245 (-1.61%)
ScnnSegment-CNN: A Framework for Temporal Action Localization in Untrimmed Videos via Multi-stage CNNs
Stars: ✭ 228 (-8.43%)
Ml sagemaker studiesCase studies, examples, and exercises for learning to deploy ML models using AWS SageMaker.
Stars: ✭ 249 (+0%)
PysolarPysolar is a collection of Python libraries for simulating the irradiation of any point on earth by the sun. It includes code for extremely precise ephemeris calculations.
Stars: ✭ 249 (+0%)
Bayesian OptimizationPython code for bayesian optimization using Gaussian processes
Stars: ✭ 245 (-1.61%)
Taco🌮 Trash Annotations in Context Dataset Toolkit
Stars: ✭ 243 (-2.41%)
Rl learn我的强化学习笔记和学习材料📖 still updating ... ...
Stars: ✭ 234 (-6.02%)