6355 Open source projects that are alternatives of or similar to Sklearn Benchmarks

Python is a multi-paradigm programming language. Meaning, it supports different programming approach. One of the popular approach to solve a programming problem is by creating objects. This is known as Object-Oriented Programming (OOP).

A stable algorithm for GAN training

This Jupyter Notebook will help you downloading Coursera videos, subtitles and quizzes (but not answering the quiz). It will automatically download and convert vtt subtitle files into srt. All resources downloaded are numbered according to their sequence.

Implementation of the Vanilla CNN described in the paper: Yue Wu and Tal Hassner, "Facial Landmark Detection with Tweaked Convolutional Neural Networks", arXiv preprint arXiv:1511.04031, 12 Nov. 2015. See project page for more information about this project. http://www.openu.ac.il/home/hassner/projects/tcnn_landmarks/ Written by Ishay Tubi : ishay2b [at] gmail [dot] com https://www.l

北京邮电大学“网络搜索原理”课程资料(2019)

A workflow for creating and editing publication ready scientific reports and presentations, from one or more Jupyter Notebooks, without leaving the browser!

MLSS 2018 Madrid lecture materials on Generative Adversarial Networks (GANs)

A seq2seq model that can correct spelling mistakes.

Progressive training of GANs with Mutual Information Penalty

Solid data structure and algorithms

Quantum Challenge problem sets

Data preparation and loader for AMASS

[ICCV 2019] Monocular depth estimation from a single image

该存储库包含由deeplearning.ai提供的相关课程的个人的笔记和实现代码。

MAGIC (Markov Affinity-based Graph Imputation of Cells), is a method for imputing missing values restoring structure of large biological datasets.

A curated list of Machine Learning and Deep Learning tutorials in Jupyter Notebook format ready to run in Google Colaboratory

World Models with TensorFlow 2

A practical feature engineering handbook

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

Mapeamento de iniciativas (e catálogos) de dados abertos governamentais no Brasil.

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

InferSent sentence embeddings

Jupyter notebooks for the Julia Scientific Programming course on Coursera

subpixel: A subpixel convnet for super resolution with Tensorflow

Detecting and counting small objects - Analysis, review and application to counting

Project which implements extraction of data from scatter plots

A cute multi-layer LSTM that can perform like a human 🎶

吴恩达机器学习coursera课程，学习代码(2017年秋) The Stanford Coursera course on MachineLearning with Andrew Ng

Assignments and notes for the Self Driving Cars course offered by University of Toronto on Coursera

Previous version of eeg-notebooks

Resources for the study group in IIT Guwahati focused on learning Artificial Intelligence.

This notebook shows how to implement LibFM in Keras and how it was used in the Talking Data competition on Kaggle.

Code snippets from Kite blog posts

Kotlin API for Lets-Plot - an open-source plotting library for statistical data.

A simple NLP library allows profiling datasets with one or more text columns. When given a dataset and a column name containing text data, NLP Profiler will return either high-level insights or low-level/granular statistical information about the text in that column.

꼼꼼한 딥러닝 논문 리뷰와 코드 실습

GERBIL - General Entity annotatoR Benchmark

This repository contains all codes and materials of the current session. It contains the required code on Natural Language Processing, Artificial intelligence.

Quantitative Interview Preparation Guide, updated version here ==>

爬虫+数据分析实战项目

This is the official repository for the Recommender Systems course at Politecnico di Milano.

YoloV3 Implemented in Tensorflow 2.0

Contains Jupyter Notebooks of stuff I am working on.

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

Interactive Go programming with Jupyter

Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft

Run M Files from Python - GNU Octave to Python bridge

Visualizer for pandas data structures

This repository contains Ipython notebooks of assignments and tutorials used in the course introduction to data science in python, part of Applied Data Science using Python Specialization from University of Michigan offered by Coursera

A wrapper of the COCOeval class for extended keypoint error estimation analysis.

This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks".

This repository contains the lecture materials for EECS 545, a graduate course in Machine Learning, at the University of Michigan, Ann Arbor.

InfiniteBoost: building infinite ensembles with gradient descent

Hands-On Machine Learning with Scikit-Learn & TensorFlow (O'Reilly)

Code for training py-faster-rcnn and py-R-FCN on multiple GPUs in caffe

Deep learning for MIR

Training Diary