5974 Open source projects that are alternatives of or similar to Prototypical Networks Tensorflow

A Jupyter notebook I use to analyze my crypto portfolio.

Repository for Deep Structural Causal Models for Tractable Counterfactual Inference

labs guide for completing qwiklabs challenge

Materials for "Docker for Data Science" tutorial presented at PyCon 2018 in Cleveland, OH

Silero VAD: pre-trained enterprise-grade Voice Activity and Number Detector

Examples using Numba.

Scikit-Learn tutorials

Jupyter notebooks contributed by QuantEcon developers, users and the community

瑞金医院MMC人工智能辅助构建知识图谱大赛初赛

Python worked examples and problems from Reservoir Engineering textbooks (Brian Towler SPE Textbook Vol. 8, etc.)

Machine Learning with the NSL-KDD dataset for Network Intrusion Detection

A python library for time-series smoothing and outlier detection in a vectorized way.

Source code for my personal blog

Small experiments with attached code

Code, data, and instructions to map every star you can see from Earth

Algorithm's team Jupyter Notebooks

Theseus is a Python library for cohort analysis

Adaptive Experimentation Platform

Corrupted labels and label smoothing

Code release for Hu et al. Natural Language Object Retrieval, in CVPR, 2016

Tutorials and implementations for "Self-normalizing networks"

Introduction to Linear Programming with Python

Python Online and Offline ECG QRS Detector based on the Pan-Tomkins algorithm

Assignment solutions for the CS231n course taught by Stanford on visual recognition. Spring 2017 solutions are for both deep learning frameworks: TensorFlow and PyTorch.

Data Analysis and Visualization in Python for Ecologists

Contrastive PCA

One place for all the default credentials to assist the Blue/Red teamers activities on finding devices with default password 🛡️

一个面向初学者的，友好的Keras入门教程

Advanced Scikit-learn training session

This repository provides the necessary code to create your own Google Images Dataset.

Jupyter notebook and datasets from the pandas Q&A video series

Numba tutorial for GTC2019

Methods of data exploration and visualization using Python.

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

https://cc-mnnit.github.io/2018-19-Classes/ - 🎒 💻 Material for Computer Club Classes

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.

Source code in ebook Machine Learning

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

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

Solving the fundamentals of algorithms using Python

用机器学习做个艺术画家-Prisma

A statistical model-based Voice Activity Detection

Machine Learning and Data Analysis Coursera Specialization from Yandex and MIPT

Statistical Rethinking with PyTorch and Pyro

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

Getting recommendations from natural language

Explore and analyse your Home Assistant data

Python client for Batfish: https://github.com/batfish/batfish

对抗样本

Examples of machine learning, with an emphasis on deep learning.

Материалы курса "Глубинное обучение", ФКН ВШЭ, бакалаврская программа ПМИ

A few exercises for use at events.

python book

Demos associated with the kernel gateway incubator project