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Code for "Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative Adversarial Networks" (NeurIPS 2021)
CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning
[NeurIPS 2021] Training Feedback Spiking Neural Networks by Implicit Differentiation on the Equilibrium State
Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks
Deep Residual Learning in Spiking Neural Networks
High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.
Deep and online learning with spiking neural networks in Python
Simulation of spiking neural networks (SNNs) using PyTorch.
ICLR 2023, Spikformer: When Spiking Neural Network Meets Transformer
Code for "Convolutional spiking neural networks (SNN) for spatio-temporal feature extraction" paper
Pytorch Implementation of Spiking Neural Networks Calibration, ICML 2021
Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.
AI Summer's complete catalog of articles
Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.
Neural Architecture Search for Spiking Neural Networks, ECCV2022
Visualization of High-dimensional Geometries by Three.js
This is a list of projects which have curated tasks specifically for new contributors. These issues are a great way to get started with a project, or to help share the load of working on open sourc…
㊙️ Create standard barcodes with Python. No external dependencies. 100% Organic Python.
A simple and complete implementation of super-resolution paper.
PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
Pytorch framework can easily implement srcnn algorithm with excellent performance
PyTorch implementation of Image Super-Resolution Using Deep Convolutional Networks (ECCV 2014)
“You don’t have to be a philosopher; you just have to want to know who you are”
🔮 Instill Core is a full-stack AI infrastructure tool for data, model and pipeline orchestration, designed to streamline every aspect of building versatile AI-first applications
Minimal PyTorch implementation of YOLOv3