llSourcell / Ethereum_future
This is the Code for "Ethereum Future Prices" by Siraj Raval on Youtube
Stars: ✭ 294
Labels
Projects that are alternatives of or similar to Ethereum future
Predict Customer Churn
A general-purpose framework for solving problems with machine learning applied to predicting customer churn
Stars: ✭ 294 (+0%)
Mutual labels: jupyter-notebook
Generative Query Network Pytorch
Generative Query Network (GQN) in PyTorch as described in "Neural Scene Representation and Rendering"
Stars: ✭ 294 (+0%)
Mutual labels: jupyter-notebook
Mlpractical
Machine Learning Practical course repository
Stars: ✭ 295 (+0.34%)
Mutual labels: jupyter-notebook
Scientific Python Lectures
Lectures on scientific computing with python, as IPython notebooks.
Stars: ✭ 3,158 (+974.15%)
Mutual labels: jupyter-notebook
Dab
Data Augmentation by Backtranslation (DAB) ヽ( •_-)ᕗ
Stars: ✭ 294 (+0%)
Mutual labels: jupyter-notebook
Pythonscraping
The code of book: Python Scraping
Stars: ✭ 292 (-0.68%)
Mutual labels: jupyter-notebook
Multidimensional Lstm Bitcoin Time Series
Using multidimensional LSTM neural networks to create a forecast for Bitcoin price
Stars: ✭ 289 (-1.7%)
Mutual labels: jupyter-notebook
Pytorch Nlp Notebooks
Learn how to use PyTorch to solve some common NLP problems with deep learning.
Stars: ✭ 293 (-0.34%)
Mutual labels: jupyter-notebook
Tf tutorial plus
Tutorials for TensorFlow APIs the official documentation doesn't cover
Stars: ✭ 293 (-0.34%)
Mutual labels: jupyter-notebook
Dive Into Dl Tensorflow2.0
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现,项目已得到李沐老师的认可
Stars: ✭ 3,380 (+1049.66%)
Mutual labels: jupyter-notebook
Neural Networks And Deep Learning
This is my assignment on Andrew Ng's course “neural networks and deep learning”
Stars: ✭ 292 (-0.68%)
Mutual labels: jupyter-notebook
Sklearn Evaluation
Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.
Stars: ✭ 294 (+0%)
Mutual labels: jupyter-notebook
Datascience course
Curso de Data Science em Português
Stars: ✭ 294 (+0%)
Mutual labels: jupyter-notebook
Pycon 2018 Tutorial
Using pandas for Better (and Worse) Data Science
Stars: ✭ 294 (+0%)
Mutual labels: jupyter-notebook
Human Segmentation Pytorch
Human segmentation models, training/inference code, and trained weights, implemented in PyTorch
Stars: ✭ 289 (-1.7%)
Mutual labels: jupyter-notebook
Awesome Gee
A curated list of Google Earth Engine resources
Stars: ✭ 292 (-0.68%)
Mutual labels: jupyter-notebook
Note that the project description data, including the texts, logos, images, and/or trademarks,
for each open source project belongs to its rightful owner.
If you wish to add or remove any projects, please contact us at [email protected].