machine-learning-and-simulation

All the handwritten notes 📝 and source code files 🖥️ used in my YouTube Videos on Machine Learning & Simulation (https://www.youtube.com/channel/UCh0P7KwJhuQ4vrzc3IRuw4Q)

maps

A Mapbox react native module for creating custom maps

maxvit

[ECCV 2022] Official repository for "MaxViT: Multi-Axis Vision Transformer". SOTA foundation models for classification, detection, segmentation, image quality, and generative modeling...

mixreg

Code for our NeurIPS 2020 paper Improving Generalization in Reinforcement Learning with Mixture Regularization

mlsom

Extracting the Brain-like Representation by an Improved Self-Organizing Map for Image Classification

mocoda

modelverse

Modelverse: Content-Based Search for Deep Generative Models

ms-resnet

Advancing Spiking Neural Networks towards Deep Residual Learning

nda_snn

Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.

neural-architecture-search-for-spiking-neural-networks

Neural Architecture Search for Spiking Neural Networks, ECCV2022

neural-inside

Generate and visualize your own Spiking Neural Networks

neural-processes

Pytorch implementation of Neural Processes for functions and images :fireworks:

object-detection-with-spiking-neural-networks

Repository code for the IJCNN 2022 paper "Object Detection with Spiking Neural Networks on Automotive Event Data"

ofa

Official repository of OFA (ICML 2022). Paper: OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework

of_ev_snn

Optical Flow estimation from Event cameras and Spiking Neural Networks

open-neuromorphic.github.io

Public website, hosted through GitHub pages.

optical-flow-for-spiking-camera

parametric-leaky-integrate-and-fire-spiking-neuron

Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks

pathnet-pytorch

PyTorch implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks

prob-ts

Fast Probability Computation and Visualization library in Typescript

procgen

Procgen Benchmark: Procedurally-Generated Game-Like Gym-Environments

pytorch-a2c-ppo-acktr-gail

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

qsnns

Quantization-aware training with spiking neural networks

selecmix

Official PyTorch Implementation of SelecMix: Debiased Learning by Contradicting-pair Sampling (NeurIPS 2022)

self-diagnosing-gan

Code for "Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative Adversarial Networks" (NeurIPS 2021)

sige

[NeurIPS 2022] Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models

simclr

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

simple-statistics

simple statistics for node & browser javascript

snn-daily-arxiv

snn-tha

Threshold annealing in binarized spiking neural networks