PyTorch implementation of SAC-Discrete.

Soft Actor-Critic

A very light matching engine in Python.

MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

Materials for Bayesian Methods in Machine Learning Course

A Python toolbox for performing gradient-free optimization

Adaptive Experimentation Platform

A Python implementation of global optimization with gaussian processes.

Bayesian Deep Learning Benchmarks

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Notebooks about Bayesian methods for machine learning

Mathematics of Deep Learning, Courant Insititute, Spring 19

Public Repository for CS 294-082 (Experimental Design for Machine Learning on Multimedia Data)

Figure notebooks for "The Data Science Design Manual" (http://www.data-manual.com/)

Models and examples built with TensorFlow

PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

A list of ICs and IPs for AI, Machine Learning and Deep Learning.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Material for my Caltech tutorial on deep learning and tensor methods

📚 Freely available programming books

Beej's Guide to Network Programming source

Bug-tracking for Jeff's algorithms book, notes, etc.

A collection of pre-trained, state-of-the-art models in the ONNX format

Tutorials for creating and using ONNX models

http://torch.ch

My notes for Tim Roughgarden's awesome course on Algorithms and his 4 part books

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

Discrete Object Generation with Reversible Inductive Construction (NeurIPS 2019)