Những kiến thức cần thiết để học tốt Machine Learning trong vòng 2 tháng. Essential Knowledge for learning Machine Learning in two months.

Gin provides a lightweight configuration framework for Python

The dataset is used to train my own raccoon detector and I blogged about it on Medium

learn code with tensorflow

How to use TensorLayer

A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)

A UI tool for quickly training image classifiers in the browser

Tensorflow Implementation of Wasserstein GAN (and Improved version in wgan_v2)

Control 3D Virtual Character through Tensroflow.js Posenet

EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow

Hiding Images within other images using Deep Learning

Automated Driving in NFS using CNN.

Generating paper titles (and more!) with GPT trained on data scraped from arXiv.

Code for "A-NICE-MC: Adversarial Training for MCMC"

Tensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" (https://arxiv.org/pdf/1705.10743.pdf)

A tool for quickly training image classifiers in the browser

Remove Background from the picture using WebAssembly & TensorFlow.js

Adversarial Training for Neural Relation Extraction

This is where I put all my work in Natural Language Processing

[repo not maintained] Check out https://diffgram.com if you want to build a visual intelligence