Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement

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Best ai paper 2020

A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code

Tensorflow Xnor Bnn

BinaryNets in TensorFlow with XNOR GEMM op

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Bot18

Bot18 is a high-frequency cryptocurrency trading bot developed by Zenbot creator @carlos8f

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Pokidex

Android app that identifies and detects Pokemons in the provided Image using Tensorflow Lite and Firebase MLKit

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Machine Learning Workflow With Python

This is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation

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Geni

A Clojure dataframe library that runs on Spark

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Pygm

🐍 Python library implementing sorted containers with state-of-the-art query performance and compressed memory usage

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Prophecis

Prophecis is a one-stop cloud native machine learning platform.

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F Lm

Language Modeling

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Batchflow

BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and machine learning workflows even for datasets that do not fit into memory.

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Showandtell

A Show And Tell implementation for iOS 11.0 based on CoreML

✭ 155

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Nettack

Implementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".

✭ 156

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Java Deep Learning Cookbook

Code for Java Deep Learning Cookbook

✭ 156

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Applied Ml

Code and Resources for "Applied Machine Learning"

✭ 156

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Mutters

A framework for building bot brains.

✭ 155

java machine-learning bot

Latentspacevisualization

Visualization techniques for the latent space of a convolutional autoencoder in Keras

✭ 155

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Tensorflow Bitcoin Robot

A Bitcoin trade robot based on Tensorflow LSTM model.Just for fun.

✭ 155

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Copulas

A library to model multivariate data using copulas.

✭ 149

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Metaprob

An embedded language for probabilistic programming and meta-programming.

✭ 155

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Stocks

Programs for stock prediction and evaluation

✭ 155

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Eiten

Statistical and Algorithmic Investing Strategies for Everyone

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Zi2zi

Learning Chinese Character style with conditional GAN

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Batchbald

Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.

✭ 155

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Ml Course

Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language

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Cumf als

CUDA Matrix Factorization Library with Alternating Least Square (ALS)

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Deep Viz Keras

Implementations of some popular Saliency Maps in Keras

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Tfi

Use any TensorFlow model in a single line of code

✭ 154

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Open Solution Toxic Comments

Open solution to the Toxic Comment Classification Challenge

✭ 154

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Color recognition

🎨 Color recognition & classification & detection on webcam stream / on video / on single image using K-Nearest Neighbors (KNN) is trained with color histogram features by OpenCV.

✭ 154

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Example Seldon

Example for end-to-end machine learning on Kubernetes using Kubeflow and Seldon Core

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Stability Selection

scikit-learn compatible implementation of stability selection.

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Emlearn

Machine Learning inference engine for Microcontrollers and Embedded devices