A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Repo for external large-scale work

tensorrt for yolo series (YOLOv10,YOLOv9,YOLOv8,YOLOv7,YOLOv6,YOLOX,YOLOv5), nms plugin support

RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference,…

A smaller subset of 10 easily classified classes from Imagenet, and a little more French

A python library for contrast maximization and voxel creation using events

Differentiation for Hackers

The code associated with Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences.

[NeurIPS'19] Deep Equilibrium Models

Deep Learning library for Lava

A Software Framework for Neuromorphic Computing

Build Graph Nets in Tensorflow

Moved to https://github.com/TNTLFreiburg/braindecode!

yolov4 42.0% mAP.ppyolo 45.1% mAP.

The dataset for drone based detection and tracking is released, including both image/video, and annotations.

Minimalist implementation of VQ-VAE in Pytorch

Variational AutoEncoder + ResNet Transfer Learning

This is an implementation of the VAE (Variational Autoencoder) for Cifar10

Implemented Variational Autoencoder generative model in Keras for image generation and its latent space visualization on MNIST and CIFAR10 datasets

Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(https://arxiv.org/abs/1802.05983)

A library for integrating machine learning tools with state-of-the-art sampling-based kinodynamic planning algorithms.

这是一个yolo3-keras的源码，可以用于训练自己的模型。

A PyTorch Implementation of "Recurrent Models of Visual Attention"

🙄 Difficult algorithm, Simple code.

来自一位 Pythonista 的编程经验分享，内容涵盖编码技巧、最佳实践与思维模式等方面。

A collection of reference environments for offline reinforcement learning

edition 2 of the slambook