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Text-to-video generation: CogVideoX (2024) and CogVideo (ICLR 2023)
A reading list for deep graph learning acceleration.
PyTorch implementations of deep reinforcement learning algorithms and environments
A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.
Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
Code for "Fast Context Adaptation via Meta-Learning"
2D Gridworld navigation using RL with Hindsight Experience Replay
A toolkit for reproducible reinforcement learning research.
Code for the model presented in the paper "A Biologically Plausible Supervised Learning Method for Spiking Neural Networks Using the Symmetric STDP Rule"
Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation
What about coding a Spiking Neural Network using an automatic differentiation framework? In SNNs, there is a time axis and the neural network sees data throughout time, and activation functions are…
Build your neural network easy and fast, 莫烦Python中文教学
Binarized Neural Network (BNN) for pytorch
Pure python implementation of SNN
Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.
Spiking neural networks (SNNs) for speech classification
Reinforcement Learning for Spiking Neural Networks
Paper list for SNN based computer vision tasks.
A PyTorch implementation of Spiking-YOLOv3. Two branches are provided, based on two common PyTorch implementation of YOLOv3(ultralytics/yolov3 & eriklindernoren/PyTorch-YOLOv3), with support for Sp…
A tutorial on 'Soft weight-sharing for Neural Network compression' published at ICLR2017