Everything you need to know about TensorFlow 2.0

Centre for Computational Statistics and Machine Learning from UCL's Machine Learning Summer School (MLSS'19) video lectures

The topics range from optimization and Bayesian inference to deep learning, reinforcement learning, and Gaussian processes. The lectures are of tutorial style, starts from basics, but then quickly picking up the pace so that after 2-4 hours of teaching, they arrive at the state of the art in the subject area.

Heartrate - real-time visualization of code execution. Observe your Python code with this tool. Python 3.5+

Easily install with pip and try in your code
https://github.com/alexmojaki/heartrate

How to drive #Weights and #Biases matrices in #Neural_Networks for #Machine_Learning.

Code available at:

https://github.com/yasser64b/Machine-Learning-

PVS-Studio Analyzer.
Tool for detecting bugs and security weaknesses in the source code of programs, written in C, C++, C# and Java. Download, try and make a clean code, which less bugs

Let your machine play Super Mario Bros! and remind our youth.

Here is python implementation of Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros.

Let's have a little fun. World of Machine Learning, Deep Learning, Python with frameworks

From ICCV 19: PIFu, an end-to-end deep learning method that can reconstruct a 3D model of a person wearing clothes from a single image.

Paper link:
https://arxiv.org/pdf/1905.05172.pdf

Official Page:

https://shunsukesaito.github.io/PIFu/

Code status: coming soon

A practical approach to learning machine learning

GitHub : https://github.com/GokuMohandas/practicalAI

- 📚 Notebooks on topics from basic Python to advanced deep learning techniques #PyTorch

- 🖥 Run everything using #Colab : https://colab.research.google.com/…/GokuMohand…/practicalAI/

How Stuff Works: A Comprehensive Topic Modelling Guide with NMF, LSA, PLSA, LDA & lda2vec (Part-1). Medium article from Sourav Bose

All list of accepted REINFORECEMENT LEARNING papers to NeurIPS 2019