castrol68,github

pytorch-pretrained-biggan

🦋A PyTorch implementation of BigGAN with pretrained weights and conversion scripts.

pytorch-seq2seq

An open source framework for seq2seq models in PyTorch.

qasystemonmedicalkg

A tutorial and implement of disease centered Medical knowledge graph and qa system based on it。知识图谱构建，自动问答，基于kg的自动问答。以疾病为中心的一定规模医药领域知识图谱，并以该知识图谱完成自动问答与分析服务。

reinforcement_learning_basic_book

这是一个学习强化学习基础原理的仓库，主要包括了《深入浅出强化学习原理入门》书中一些例子和课后作业的代码

restricted-boltzmann-machine-deep-belief-network-deep-boltzmann-machine-in-pytorch

rl-book

Source codes for the book "Reinforcement Learning: Theory and Python Implementation"

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, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.

saliency-tensorflow2

🔦 Saliency maps implemented in TensorFlow 2 - SmoothGrad, GradCAM, Integrated Gradients, Guided Backprop and other methods.

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.