TensorFlow implementation of the SOM-VAE model as described in https://arxiv.org/abs/1806.02199

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

An attempt at the implementation of Glom, Geoffrey Hinton's new idea that integrates concepts from neural fields, top-down-bottom-up processing, and attention (consensus between columns), for emerg…

Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and e…

IEEE/ACM TASLP 2020: SBERT-WK: A Sentence Embedding Method By Dissecting BERT-based Word Models

PyEngine3D is open source opengl 3d engine project wirtten in python.

Adaptive Gradient Clipping

Lightweight CRNN for OCR (including handwritten text) with depthwise separable convolutions and spatial transformer module [keras+tf]

Anchor Diffusion for Unsupervised Video Object Segmentation

## Auto-archived due to inactivity. ## Functions for piecewise regression on time series data

Exact methods for simulating fractional Brownian motion and fractional Gaussian noise in python

Download and convert MIDV-500 annotations to COCO instance segmentation format

PyHopper is a hyperparameter optimizer, made specifically for high-dimensional problems arising in machine learning research.

High-performance option pricing and volatility modeling library.

Python implementation of fractional brownian motion

Collection of indicators that I used in my strategies.

Deadlocks? Detect where your threads hang in Python with one import.

A well-documented A2C written in PyTorch

Recurrent continuous reinforcement learning algorithms implemented in Pytorch.

@geolonia/normalize-japanese-addressesのPython移植版

Using the deep reinforcement learning algorithm A3C to train my agent to play the Atari game Breakout!

A fast and easy adblockplus parser and matcher based on adblock-rust package

Minimal PyTorch Library for Natural Evolution Strategies