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Name: Yam Peleg
Type: User
Name: Yam Peleg
Type: User
Reinforcement learning example (WIP)
At Tel Aviv Deep Learning BootCamp
A deep learning model to analyze the Israeli 20/21 election systems
This is a Keras implementation of the paper "LiSHT: Non-Parametric Linearly Scaled Hyperbolic Tangent Activation Function for Neural Networks" - https://arxiv.org/abs/1901.05894
<In Development> Transformers for Keras that support sklearn's .fit .predict .
Keras "Implementation of Improving speech recognition by revising gated recurrent units - Ravanelli et al"
Keras implementation of Normalizer-Free Networks and SGD - Adaptive Gradient Clipping
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Keras implementation of Phased LSTM [https://arxiv.org/abs/1610.09513]
A python implementation of squeezenet
Python Feature Engineering Cookbook, published by Packt
QANet in keras (with Cove)
An interactive grid for sorting, filtering, and editing DataFrames in Jupyter notebooks
Learning to learn reinforcement learning on CS294 :)
Scrapes the Robinhood API to retrieve + store popularity and price data.
Image Processing SciKit (Toolbox for SciPy)
scikit-learn: machine learning in Python
Scipy library main repository
Tensorflow port of the Stable Diffusion Model
Computation using data flow graphs for scalable machine learning
Implementation of a Tensor Processing Unit for embedded systems and the IoT.
Keras port of U-2-Net
An automatic XSS discovery tool
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.