All Projects → Mxnet The Straight Dope → Similar Projects or Alternatives

5921 Open source projects that are alternatives of or similar to Mxnet The Straight Dope

Scnn
Segment-CNN: A Framework for Temporal Action Localization in Untrimmed Videos via Multi-stage CNNs
Stars: ✭ 228 (-91.06%)
Mutual labels:  jupyter-notebook
Deep Learning In Production
Develop production ready deep learning code, deploy it and scale it
Stars: ✭ 216 (-91.53%)
Mutual labels:  jupyter-notebook
Fusenet
Deep fusion project of deeply-fused nets, and the study on the connection to ensembling
Stars: ✭ 230 (-90.98%)
Mutual labels:  jupyter-notebook
Pytorch Transformers Classification
Based on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for employing Transformer models in text classification tasks. Contains code to easily train BERT, XLNet, RoBERTa, and XLM models for text classification.
Stars: ✭ 229 (-91.02%)
Mutual labels:  jupyter-notebook
Dat7
General Assembly's Data Science course in Washington, DC
Stars: ✭ 227 (-91.1%)
Mutual labels:  jupyter-notebook
All Python Codes Of Ztm Course By Andrei Neagoie
Stars: ✭ 229 (-91.02%)
Mutual labels:  jupyter-notebook
Satellite analysis
Analysis scripts of things related to satellites
Stars: ✭ 228 (-91.06%)
Mutual labels:  jupyter-notebook
Installations mac ubuntu windows
Installations for Data Science. Anaconda, RStudio, Spark, TensorFlow, AWS (Amazon Web Services).
Stars: ✭ 231 (-90.94%)
Mutual labels:  jupyter-notebook
Handson Ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Stars: ✭ 18,554 (+627.32%)
Mutual labels:  jupyter-notebook
Ssd scene text detection
Detect text in natural images with SSD, Single Shot Detection
Stars: ✭ 229 (-91.02%)
Mutual labels:  jupyter-notebook
Cd4ml Workshop
Repository with sample code and instructions for "Continuous Intelligence" and "Continuous Delivery for Machine Learning: CD4ML" workshops
Stars: ✭ 229 (-91.02%)
Mutual labels:  jupyter-notebook
Applied Deep Learning With Keras
Deep Learning examples with Keras.
Stars: ✭ 227 (-91.1%)
Mutual labels:  jupyter-notebook
Hamiltonian Nn
Code for our paper "Hamiltonian Neural Networks"
Stars: ✭ 229 (-91.02%)
Mutual labels:  jupyter-notebook
Nlp
Stars: ✭ 229 (-91.02%)
Mutual labels:  jupyter-notebook
Introduction To Python
Python is an interpreted, high-level, general-purpose programming language. Created by Guido van Rossum and first released in 1991, Python's design philosophy emphasizes code readability with its notable use of significant white space. (This repository contains Python 3 Code)
Stars: ✭ 232 (-90.91%)
Mutual labels:  jupyter-notebook
Functional intro to python
[tutorial]A functional, Data Science focused introduction to Python
Stars: ✭ 228 (-91.06%)
Mutual labels:  jupyter-notebook
Quantiacs Python
Python version of Quantiacs toolbox and sample trading strategies
Stars: ✭ 230 (-90.98%)
Mutual labels:  jupyter-notebook
Gpt2bot
Your new Telegram buddy powered by transformers
Stars: ✭ 228 (-91.06%)
Mutual labels:  jupyter-notebook
Statannot
add statistical annotations (pvalue significance) on an existing boxplot generated by seaborn boxplot
Stars: ✭ 228 (-91.06%)
Mutual labels:  jupyter-notebook
Data
Data and code behind the articles and graphics at FiveThirtyEight
Stars: ✭ 15,241 (+497.45%)
Mutual labels:  jupyter-notebook
Comp Genomics Class
Code and examples for JHU Computational Genomics class
Stars: ✭ 228 (-91.06%)
Mutual labels:  jupyter-notebook
Nemo
NeMo: a toolkit for conversational AI
Stars: ✭ 3,685 (+44.45%)
Mutual labels:  jupyter-notebook
Dagmm
My attempt at reproducing the paper Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection
Stars: ✭ 231 (-90.94%)
Mutual labels:  jupyter-notebook
Full Stack Data Science
Full Stack Data Science in Python
Stars: ✭ 227 (-91.1%)
Mutual labels:  jupyter-notebook
Transfer learning music
Transfer learning for music classification and regression tasks
Stars: ✭ 228 (-91.06%)
Mutual labels:  jupyter-notebook
Dsnd term1
Contains files related to content and project of DSND
Stars: ✭ 229 (-91.02%)
Mutual labels:  jupyter-notebook
Gan Tutorial
Simple Implementation of many GAN models with PyTorch.
Stars: ✭ 227 (-91.1%)
Mutual labels:  jupyter-notebook
Nlp made easy
Explains nlp building blocks in a simple manner.
Stars: ✭ 232 (-90.91%)
Mutual labels:  jupyter-notebook
Question Generation
Generating multiple choice questions from text using Machine Learning.
Stars: ✭ 227 (-91.1%)
Mutual labels:  jupyter-notebook
Aotodata
朱小五写文章涉及到的数据分析,爬虫,源数据
Stars: ✭ 232 (-90.91%)
Mutual labels:  jupyter-notebook
Weatherbench
A benchmark dataset for data-driven weather forecasting
Stars: ✭ 227 (-91.1%)
Mutual labels:  jupyter-notebook
Stat451 Machine Learning Fs20
STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)
Stars: ✭ 230 (-90.98%)
Mutual labels:  jupyter-notebook
Statistics python codes
《统计学原理实验教程(Python)》书中代码实现。尽可能加注释,力求代码的可复用性。
Stars: ✭ 230 (-90.98%)
Mutual labels:  jupyter-notebook
Pystacknet
Stars: ✭ 232 (-90.91%)
Mutual labels:  jupyter-notebook
Kagglestruggle
Kaggle Struggle
Stars: ✭ 228 (-91.06%)
Mutual labels:  jupyter-notebook
Structuredinference
Structured Inference Networks for Nonlinear State Space Models
Stars: ✭ 230 (-90.98%)
Mutual labels:  jupyter-notebook
Alphatools
Quantitative finance research tools in Python
Stars: ✭ 226 (-91.14%)
Mutual labels:  jupyter-notebook
Stylegan2 Face Modificator
Simple Encoder, Generator and Face Modificator with StyleGAN2
Stars: ✭ 232 (-90.91%)
Mutual labels:  jupyter-notebook
18335
18.335 - Introduction to Numerical Methods course
Stars: ✭ 228 (-91.06%)
Mutual labels:  jupyter-notebook
Beakerx
Beaker Extensions for Jupyter Notebook
Stars: ✭ 2,594 (+1.69%)
Mutual labels:  jupyter-notebook
Coronavirus Epidemic Covid 19
👩🏻‍⚕️Covid-19 estimation and forecast using statistical model; 新型冠状病毒肺炎统计模型预测 (Jan 2020)
Stars: ✭ 228 (-91.06%)
Mutual labels:  jupyter-notebook
Awesome Pandas
A collection of resources for pandas (Python) and related subjects.
Stars: ✭ 232 (-90.91%)
Mutual labels:  jupyter-notebook
Pydata Book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Stars: ✭ 16,386 (+542.34%)
Mutual labels:  jupyter-notebook
Mydatascienceportfolio
Applying Data Science and Machine Learning to Solve Real World Business Problems
Stars: ✭ 227 (-91.1%)
Mutual labels:  jupyter-notebook
Deeplearning Models
A collection of various deep learning architectures, models, and tips
Stars: ✭ 14,654 (+474.44%)
Mutual labels:  jupyter-notebook
Imaginary Numbers Are Real
Code To Accompany YouTube Series Imaginary Numbers Are Real
Stars: ✭ 231 (-90.94%)
Mutual labels:  jupyter-notebook
Pytorch Handbook
pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行
Stars: ✭ 15,817 (+520.03%)
Mutual labels:  jupyter-notebook
Movie Plots By Genre
Movie plots by genre tutorial at PyData Berlin 2016
Stars: ✭ 230 (-90.98%)
Mutual labels:  jupyter-notebook
Decaf Release
Decaf is DEPRECATED! Please visit http://caffe.berkeleyvision.org/ for Caffe, the new framework that has all the good things: GPU computation, full train/test scripts, native C++, and an active community!
Stars: ✭ 227 (-91.1%)
Mutual labels:  jupyter-notebook
Wassdistance
Approximating Wasserstein distances with PyTorch
Stars: ✭ 229 (-91.02%)
Mutual labels:  jupyter-notebook
Dataviz With Python And Js
The accompanying files for the book 'Dataviz with Python and JavaScript'
Stars: ✭ 227 (-91.1%)
Mutual labels:  jupyter-notebook
Applied Reinforcement Learning
Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks
Stars: ✭ 229 (-91.02%)
Mutual labels:  jupyter-notebook
Image classification with 5 methods
Compared performance of KNN, SVM, BPNN, CNN, Transfer Learning (retrain on Inception v3) on image classification problem. CNN is implemented with TensorFlow
Stars: ✭ 227 (-91.1%)
Mutual labels:  jupyter-notebook
Machine Learning By Andrew Ng In Python
Documenting my python implementation of Andrew Ng's Machine Learning course
Stars: ✭ 231 (-90.94%)
Mutual labels:  jupyter-notebook
Predicting winning teams
This is the code for "Predicting the Winning Team with Machine Learning" by Siraj Raval on Youtube
Stars: ✭ 229 (-91.02%)
Mutual labels:  jupyter-notebook
Relevant Search Book
Code and Examples for Relevant Search
Stars: ✭ 231 (-90.94%)
Mutual labels:  jupyter-notebook
Mattnet
MAttNet: Modular Attention Network for Referring Expression Comprehension
Stars: ✭ 232 (-90.91%)
Mutual labels:  jupyter-notebook
Learn Statistical Learning Method
Implementation of Statistical Learning Method, Second Edition.《统计学习方法》第二版,算法实现。
Stars: ✭ 228 (-91.06%)
Mutual labels:  jupyter-notebook
Neural Network From Scratch
Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?
Stars: ✭ 230 (-90.98%)
Mutual labels:  jupyter-notebook
Snap N Eat
Food detection and recommendation with deep learning
Stars: ✭ 229 (-91.02%)
Mutual labels:  jupyter-notebook
1-60 of 5921 similar projects