All Projects → Whirlwindtourofpython → Similar Projects or Alternatives

5921 Open source projects that are alternatives of or similar to Whirlwindtourofpython

Mltrain Nips 2017
This repository contains all the material for the MLTrain NIPS workshop
Stars: ✭ 246 (-91.81%)
Mutual labels:  jupyter-notebook
Conceptualsearch
Train a Word2Vec model or LSA model, and Implement Conceptual Search\Semantic Search in Solr\Lucene - Simon Hughes Dice.com, Dice Tech Jobs
Stars: ✭ 245 (-91.84%)
Mutual labels:  jupyter-notebook
Faiss note
faiss wiki in chinese.
Stars: ✭ 248 (-91.74%)
Mutual labels:  jupyter-notebook
Spinzero Jupyter Theme
A minimal Jupyter Notebook theme
Stars: ✭ 246 (-91.81%)
Mutual labels:  jupyter-notebook
Human body prior
VPoser: Variational Human Pose Prior
Stars: ✭ 244 (-91.87%)
Mutual labels:  jupyter-notebook
Nodebook
Repeatable analysis plugin for Jupyter notebook
Stars: ✭ 249 (-91.71%)
Mutual labels:  jupyter-notebook
Recsys core
[电影推荐系统] Based on the movie scoring data set, the movie recommendation system is built with FM and LR as the core(基于爬取的电影评分数据集,构建以FM和LR为核心的电影推荐系统).
Stars: ✭ 245 (-91.84%)
Mutual labels:  jupyter-notebook
Mixup Generator
An implementation of "mixup: Beyond Empirical Risk Minimization"
Stars: ✭ 250 (-91.67%)
Mutual labels:  jupyter-notebook
Yolo Series
A series of notebooks describing how to use YOLO (darkflow) in python
Stars: ✭ 245 (-91.84%)
Mutual labels:  jupyter-notebook
Building Machine Learning Projects With Tensorflow
Building Machine Learning Projects with TensorFlow by Packt
Stars: ✭ 247 (-91.77%)
Mutual labels:  jupyter-notebook
Neural Painters
Stars: ✭ 247 (-91.77%)
Mutual labels:  jupyter-notebook
Data Cleaning 101
Data Cleaning Libraries with Python
Stars: ✭ 243 (-91.91%)
Mutual labels:  jupyter-notebook
Stanford Cs231
Resources for students in the Udacity's Machine Learning Engineer Nanodegree to work through Stanford's Convolutional Neural Networks for Visual Recognition course (CS231n).
Stars: ✭ 249 (-91.71%)
Mutual labels:  jupyter-notebook
Bayesian Optimization
Python code for bayesian optimization using Gaussian processes
Stars: ✭ 245 (-91.84%)
Mutual labels:  jupyter-notebook
Pysolar
Pysolar is a collection of Python libraries for simulating the irradiation of any point on earth by the sun. It includes code for extremely precise ephemeris calculations.
Stars: ✭ 249 (-91.71%)
Mutual labels:  jupyter-notebook
Audio Classification
Code for YouTube series: Deep Learning for Audio Classification
Stars: ✭ 245 (-91.84%)
Mutual labels:  jupyter-notebook
Epipolar Transformers
Epipolar Transformers (CVPR 2020)
Stars: ✭ 245 (-91.84%)
Mutual labels:  jupyter-notebook
Exploratory computing with python
Stars: ✭ 245 (-91.84%)
Mutual labels:  jupyter-notebook
Pytorch Exercise
Practical Exercise Codes for PyTorch
Stars: ✭ 250 (-91.67%)
Mutual labels:  jupyter-notebook
Zhihu
知乎看山杯 第二名 解决方案
Stars: ✭ 245 (-91.84%)
Mutual labels:  jupyter-notebook
Talks
Stars: ✭ 247 (-91.77%)
Mutual labels:  jupyter-notebook
Recmetrics
A library of metrics for evaluating recommender systems
Stars: ✭ 244 (-91.87%)
Mutual labels:  jupyter-notebook
Pytorch modelsize
Estimates the size of a PyTorch model in memory
Stars: ✭ 249 (-91.71%)
Mutual labels:  jupyter-notebook
2016 01 Tennis Betting Analysis
Methodology and code supporting the BuzzFeed News/BBC article, "The Tennis Racket," published Jan. 17, 2016.
Stars: ✭ 244 (-91.87%)
Mutual labels:  jupyter-notebook
Ts tutorial
Stars: ✭ 247 (-91.77%)
Mutual labels:  jupyter-notebook
Attentionexplanation
Stars: ✭ 247 (-91.77%)
Mutual labels:  jupyter-notebook
Abu ml
机器学习技术研究室——by阿布量化小组
Stars: ✭ 244 (-91.87%)
Mutual labels:  jupyter-notebook
Naucse.python.cz
Website with learning materials / Stránka s učebními materiály
Stars: ✭ 248 (-91.74%)
Mutual labels:  jupyter-notebook
Ml finance codes
Machine Learning in Finance: From Theory to Practice Book
Stars: ✭ 245 (-91.84%)
Mutual labels:  jupyter-notebook
Pointrend Pytorch
A PyTorch implementation of PointRend: Image Segmentation as Rendering
Stars: ✭ 249 (-91.71%)
Mutual labels:  jupyter-notebook
Parametric T Sne
Running parametric t-SNE by Laurens Van Der Maaten with Octave and oct2py.
Stars: ✭ 246 (-91.81%)
Mutual labels:  jupyter-notebook
Mixture Density Networks For Distribution And Uncertainty Estimation
A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)
Stars: ✭ 249 (-91.71%)
Mutual labels:  jupyter-notebook
Wav2mid
Automatic Music Transcription with Deep Neural Networks
Stars: ✭ 246 (-91.81%)
Mutual labels:  jupyter-notebook
Ai Projects
Artificial Intelligence projects, documentation and code.
Stars: ✭ 250 (-91.67%)
Mutual labels:  jupyter-notebook
Scipy 2018 Sklearn
Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller
Stars: ✭ 247 (-91.77%)
Mutual labels:  jupyter-notebook
Solt
Streaming over lightweight data transformations
Stars: ✭ 249 (-91.71%)
Mutual labels:  jupyter-notebook
Bigquery Oreilly Book
Source code accompanying: BigQuery: The Definitive Guide by Lakshmanan & Tigani to be published by O'Reilly Media
Stars: ✭ 246 (-91.81%)
Mutual labels:  jupyter-notebook
Coursework
summer school coursework
Stars: ✭ 249 (-91.71%)
Mutual labels:  jupyter-notebook
Pomegranate
Fast, flexible and easy to use probabilistic modelling in Python.
Stars: ✭ 2,789 (-7.1%)
Mutual labels:  jupyter-notebook
Pytorch Seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
Stars: ✭ 3,418 (+13.86%)
Mutual labels:  jupyter-notebook
Jupyter Tips And Tricks
Using Project Jupyter for data science.
Stars: ✭ 245 (-91.84%)
Mutual labels:  jupyter-notebook
Deep Learning Book
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
Stars: ✭ 2,705 (-9.89%)
Mutual labels:  jupyter-notebook
Box Plots Sklearn
An implementation of some of the tools used by the winner of the box plots competition using scikit-learn.
Stars: ✭ 245 (-91.84%)
Mutual labels:  jupyter-notebook
Wavegrad
Implementation of Google Brain's WaveGrad high-fidelity vocoder (paper: https://arxiv.org/pdf/2009.00713.pdf). First implementation on GitHub.
Stars: ✭ 245 (-91.84%)
Mutual labels:  jupyter-notebook
Link Prediction
Representation learning for link prediction within social networks
Stars: ✭ 245 (-91.84%)
Mutual labels:  jupyter-notebook
Drowsiness detection
Stars: ✭ 250 (-91.67%)
Mutual labels:  jupyter-notebook
Guided Evolutionary Strategies
Guided Evolutionary Strategies
Stars: ✭ 245 (-91.84%)
Mutual labels:  jupyter-notebook
Dl tutorial
Tutorials for deep learning
Stars: ✭ 247 (-91.77%)
Mutual labels:  jupyter-notebook
Delf Pytorch
PyTorch Implementation of "Large-Scale Image Retrieval with Attentive Deep Local Features"
Stars: ✭ 245 (-91.84%)
Mutual labels:  jupyter-notebook
Ml Foundation And Ml Techniques
台大机器学习课程作业详解
Stars: ✭ 249 (-91.71%)
Mutual labels:  jupyter-notebook
Fouriertalkoscon
Presentation Materials for my "Sound Analysis with the Fourier Transform and Python" OSCON Talk.
Stars: ✭ 244 (-91.87%)
Mutual labels:  jupyter-notebook
Overcoming Catastrophic
Implementation of "Overcoming catastrophic forgetting in neural networks" in Tensorflow
Stars: ✭ 247 (-91.77%)
Mutual labels:  jupyter-notebook
Smpybandits
🔬 Research Framework for Single and Multi-Players 🎰 Multi-Arms Bandits (MAB) Algorithms, implementing all the state-of-the-art algorithms for single-player (UCB, KL-UCB, Thompson...) and multi-player (MusicalChair, MEGA, rhoRand, MCTop/RandTopM etc).. Available on PyPI: https://pypi.org/project/SMPyBandits/ and documentation on
Stars: ✭ 244 (-91.87%)
Mutual labels:  jupyter-notebook
Deep Learning Machine Learning Stock
Stock for Deep Learning and Machine Learning
Stars: ✭ 240 (-92.01%)
Mutual labels:  jupyter-notebook
Receptivefield
Gradient based receptive field estimation for Convolutional Neural Networks
Stars: ✭ 247 (-91.77%)
Mutual labels:  jupyter-notebook
Nbdev
Create delightful python projects using Jupyter Notebooks
Stars: ✭ 3,061 (+1.97%)
Mutual labels:  jupyter-notebook
Effective python notebook
Stars: ✭ 251 (-91.64%)
Mutual labels:  jupyter-notebook
Ml sagemaker studies
Case studies, examples, and exercises for learning to deploy ML models using AWS SageMaker.
Stars: ✭ 249 (-91.71%)
Mutual labels:  jupyter-notebook
Cvpr2019 pyramid Feature Attention Network For Saliency Detection
code and model of Pyramid Feature Selective Network for Saliency detection
Stars: ✭ 249 (-91.71%)
Mutual labels:  jupyter-notebook
Keras Elmo
How to use ELMo embeddings in Keras with Tensorflow Hub
Stars: ✭ 247 (-91.77%)
Mutual labels:  jupyter-notebook
1-60 of 5921 similar projects