Deep Ml MeetupsA central repository for all my projects
Stars: ✭ 108 (-1.82%)
Ultra96 PynqBoard files to build Ultra 96 PYNQ image
Stars: ✭ 108 (-1.82%)
HistbookVersatile, high-performance histogram toolkit for Numpy.
Stars: ✭ 109 (-0.91%)
PrmlPRML algorithms implemented in Python
Stars: ✭ 10,206 (+9178.18%)
Nb pdf templateA more accurate representation of jupyter notebooks when converting to pdfs.
Stars: ✭ 109 (-0.91%)
KubeflowdojoRepository to hold code, instructions, demos and pointers to presentation assets for Kubeflow Dojo
Stars: ✭ 110 (+0%)
DtreevizA python library for decision tree visualization and model interpretation.
Stars: ✭ 1,857 (+1588.18%)
XgboostTutorial how to use xgboost
Stars: ✭ 108 (-1.82%)
PsganPeriodic Spatial Generative Adversarial Networks
Stars: ✭ 108 (-1.82%)
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 (-2.73%)
Robustness applicationsNotebooks for reproducing the paper "Computer Vision with a Single (Robust) Classifier"
Stars: ✭ 108 (-1.82%)
Simple mfSimple but Flexible Recommendation Engine in PyTorch
Stars: ✭ 109 (-0.91%)
Tensorflow ExamplesTensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Stars: ✭ 41,480 (+37609.09%)
DensecapDense image captioning in Torch
Stars: ✭ 1,469 (+1235.45%)
Ganotebookswgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch
Stars: ✭ 1,446 (+1214.55%)
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 (-1.82%)
Aa228 NotebookIJulia notebooks for AA228/CS238 Decision Making Under Uncertainty course at Stanford University
Stars: ✭ 107 (-2.73%)
Prisma abu用机器学习做个艺术画家-Prisma
Stars: ✭ 109 (-0.91%)
Awesome Embedding ModelsA curated list of awesome embedding models tutorials, projects and communities.
Stars: ✭ 1,486 (+1250.91%)
SklearnData & Code associated with my tutorial on the sci-kit learn machine learning library in python
Stars: ✭ 110 (+0%)
PydataseattleFor the pandas tutorial at PyData Seattle: https://www.youtube.com/watch?v=otCriSKVV_8
Stars: ✭ 108 (-1.82%)
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 (-2.73%)
Google Images DatasetThis repository provides the necessary code to create your own Google Images Dataset.
Stars: ✭ 110 (+0%)
OpenmorphCurated list of open-access databases with human structural MRI data
Stars: ✭ 108 (-1.82%)
Isl PythonPorting the R code in ISL to python. Labs and exercises
Stars: ✭ 108 (-1.82%)
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%)
Ml DemosPython code examples for the feedly Machine Learning blog (https://blog.feedly.com/category/all/Machine-Learning/)
Stars: ✭ 108 (-1.82%)
Learning Vis ToolsLearning Vis Tools: Tutorial materials for Data Visualization course at HKUST
Stars: ✭ 108 (-1.82%)
Python Machine LearningTous les codes utilisés dans la série YouTube Python Spécial Machine Learning !
Stars: ✭ 108 (-1.82%)
MtcnnMTCNN face detection implementation for TensorFlow, as a PIP package.
Stars: ✭ 1,689 (+1435.45%)
Isl PythonSolutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.
Stars: ✭ 108 (-1.82%)
Kalman And Bayesian Filters In PythonKalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
Stars: ✭ 11,233 (+10111.82%)
PyldavisPython library for interactive topic model visualization. Port of the R LDAvis package.
Stars: ✭ 1,550 (+1309.09%)
Imagenetv2A new test set for ImageNet
Stars: ✭ 109 (-0.91%)
Facemaskdetection开源人脸口罩检测模型和数据 Detect faces and determine whether people are wearing mask.
Stars: ✭ 1,677 (+1424.55%)
Spark R Notebooks R on Apache Spark (SparkR) tutorials for Big Data analysis and Machine Learning as IPython / Jupyter notebooks
Stars: ✭ 109 (-0.91%)
HgnHierarchical Gating Networks for Sequential Recommendation
Stars: ✭ 110 (+0%)
Credit scoredata from the kaggle 'give me some credit" competition
Stars: ✭ 109 (-0.91%)
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 (-2.73%)