Simple but Flexible Recommendation Engine in PyTorch

Code examples for training AlexNet using Keras and Theano

Repository to hold code, instructions, demos and pointers to presentation assets for Kubeflow Dojo

Versatile, high-performance histogram toolkit for Numpy.

A more accurate representation of jupyter notebooks when converting to pdfs.

data from the kaggle 'give me some credit" competition

BioBert Pytorch

Data & Code associated with my tutorial on the sci-kit learn machine learning library in python

Machine Learning and Data Analysis Coursera Specialization from Yandex and MIPT

MTCNN face detection implementation for TensorFlow, as a PIP package.

Explore and analyse your Home Assistant data

Completed assignment jupyter notebook of Foundations of Convolutional Neural Networks, deeplearning.ai coursera course

R on Apache Spark (SparkR) tutorials for Big Data analysis and Machine Learning as IPython / Jupyter notebooks

A 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.

Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.

用机器学习做个艺术画家-Prisma

Hierarchical Gating Networks for Sequential Recommendation

A guide to crushing tech interviews.

Dense image captioning in Torch