The c302 framework for generating multiscale network models of C. elegans

Neural Networks: Zero to Hero

Jupyter notebooks demonstrating the process of emulating a PID controller with an LSTM, and using that for anomaly detection

Code for this CVPR 2018 paper: "A PID Controller Approach for Stochastic Optimization of Deep Networks", Wangpeng An, Haoqian Wang, Qingyun Sun, Jun Xu, Qionghai Dai, Lei Zhang.

Machine Learning for Engineers in Python

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

Tools to use with Brian 2, in particular for visualization

Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)

Brian is a free, open source simulator for spiking neural networks.

NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite

Visualizer for neural network, deep learning and machine learning models

Minimal PyTorch implementation of YOLOv4

YOLOv4 (v3/v2) - Windows and Linux version of Darknet Neural Networks for object detection (Tensor Cores are used)

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

ncnn is a high-performance neural network inference framework optimized for the mobile platform

I finished almost all exercises in the textbook Linear Algebra 4/e, written by Stephen H. Friedberg, Arnold J. Insel,Lawrence E. Spence. Please directly click the repo home page to preview my solut…

A solutions manual for Algebra by Thomas W. Hungerford

PyTorch implementation for Deep Latent Gaussian Models(DLGM) https://arxiv.org/abs/1401.4082

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

A Collection of Variational Autoencoders (VAE) in PyTorch.

Wasserstein Auto-Encoders

PyTorch implementation of Wasserstein Auto-Encoders

A brief tutorial on the Wasserstein auto-encoder

Kalman Filter, Smoother, and EM Algorithm for Python

Deep and online learning with spiking neural networks in Python

Library of Dynamic Neural Networks for time series related tasks

Official implementation of Fully Spiking Variational Autoencoder [AAAI2022]

End-to-End Object Detection with Transformers