Isl PythonSolutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.
Stars: ✭ 108 (-2.7%)
Awesome Embedding ModelsA curated list of awesome embedding models tutorials, projects and communities.
Stars: ✭ 1,486 (+1238.74%)
Nvidia Gpu Tensor Core Accelerator Pytorch OpencvA complete machine vision container that includes Jupyter notebooks with built-in code hinting, Anaconda, CUDA-X, TensorRT inference accelerator for Tensor cores, CuPy (GPU drop in replacement for Numpy), PyTorch, TF2, Tensorboard, and OpenCV for accelerated workloads on NVIDIA Tensor cores and GPUs.
Stars: ✭ 110 (-0.9%)
Isl PythonPorting the R code in ISL to python. Labs and exercises
Stars: ✭ 108 (-2.7%)
Cs231n Convolutional Neural Networks SolutionsAssignment solutions for the CS231n course taught by Stanford on visual recognition. Spring 2017 solutions are for both deep learning frameworks: TensorFlow and PyTorch.
Stars: ✭ 110 (-0.9%)
Sas Viya ProgrammingCode samples and materials to help you learn to access SAS Viya services by writing programs in Python and other open-source languages
Stars: ✭ 107 (-3.6%)
Spark R Notebooks R on Apache Spark (SparkR) tutorials for Big Data analysis and Machine Learning as IPython / Jupyter notebooks
Stars: ✭ 109 (-1.8%)
Ml DemosPython code examples for the feedly Machine Learning blog (https://blog.feedly.com/category/all/Machine-Learning/)
Stars: ✭ 108 (-2.7%)
Google Images DatasetThis repository provides the necessary code to create your own Google Images Dataset.
Stars: ✭ 110 (-0.9%)
Imagenetv2A new test set for ImageNet
Stars: ✭ 109 (-1.8%)
SklearnData & Code associated with my tutorial on the sci-kit learn machine learning library in python
Stars: ✭ 110 (-0.9%)
AxAdaptive Experimentation Platform
Stars: ✭ 1,663 (+1398.2%)
PydataseattleFor the pandas tutorial at PyData Seattle: https://www.youtube.com/watch?v=otCriSKVV_8
Stars: ✭ 108 (-2.7%)
MtcnnMTCNN face detection implementation for TensorFlow, as a PIP package.
Stars: ✭ 1,689 (+1421.62%)
OpenmorphCurated list of open-access databases with human structural MRI data
Stars: ✭ 108 (-2.7%)
Nb pdf templateA more accurate representation of jupyter notebooks when converting to pdfs.
Stars: ✭ 109 (-1.8%)
Ultra96 PynqBoard files to build Ultra 96 PYNQ image
Stars: ✭ 108 (-2.7%)
HistbookVersatile, high-performance histogram toolkit for Numpy.
Stars: ✭ 109 (-1.8%)
Simple mfSimple but Flexible Recommendation Engine in PyTorch
Stars: ✭ 109 (-1.8%)
SpherefaceImplementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17.
Stars: ✭ 1,483 (+1236.04%)
HgnHierarchical Gating Networks for Sequential Recommendation
Stars: ✭ 110 (-0.9%)
ClxA collection of RAPIDS examples for security analysts, data scientists, and engineers to quickly get started applying RAPIDS and GPU acceleration to real-world cybersecurity use cases.
Stars: ✭ 108 (-2.7%)
Pymc3 vs pystanPersonal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/presentation/30/ video: https://www.youtube.com/watch?v=Jb9eklfbDyg
Stars: ✭ 110 (-0.9%)
Fin MlThis github repository contains the code to the case studies in the O'Reilly book Machine Learning and Data Science Blueprints for Finance
Stars: ✭ 107 (-3.6%)
DtreevizA python library for decision tree visualization and model interpretation.
Stars: ✭ 1,857 (+1572.97%)
Adsabs Dev ApiDeveloper API service description and example client code
Stars: ✭ 110 (-0.9%)
KubeflowdojoRepository to hold code, instructions, demos and pointers to presentation assets for Kubeflow Dojo
Stars: ✭ 110 (-0.9%)
XgboostTutorial how to use xgboost
Stars: ✭ 108 (-2.7%)
Wifi activity recognitionCode for IEEE Communication Magazine (A Survey on Behaviour Recognition Using WiFi Channle State Information)
Stars: ✭ 109 (-1.8%)
Deep Ml MeetupsA central repository for all my projects
Stars: ✭ 108 (-2.7%)
DensecapDense image captioning in Torch
Stars: ✭ 1,469 (+1223.42%)
PsganPeriodic Spatial Generative Adversarial Networks
Stars: ✭ 108 (-2.7%)
Credit scoredata from the kaggle 'give me some credit" competition
Stars: ✭ 109 (-1.8%)
Py WsiPython package for dealing with whole slide images (.svs) for machine learning, particularly for fast prototyping. Includes patch sampling and storing using OpenSlide. Patches may be stored in LMDB, HDF5 files, or to disk. It is highly recommended to fork and download this repository so that personal customisations can be made for your work.
Stars: ✭ 107 (-3.6%)
ExperimentsSmall experiments with attached code
Stars: ✭ 110 (-0.9%)