FFpigpig's repositories
gpt_academic
为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。
pytorch_geometric_temporal
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
DeepHypergraph
A pytorch library for graph and hypergraph computation.
gradio
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
awesome-python
An opinionated list of awesome Python frameworks, libraries, software and resources.
pytorch_geometric
Graph Neural Network Library for PyTorch
d2l-zh
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
HowToTrainYourMAMLPytorch
The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
motor-fault-diagnosis
Multi-sensor data collection gathered to expand research on anomaly detection, fault diagnosis, and predictive maintenance, mainly using non-invasive methods such as thermal observation or vibration measurement.
Deep-discriminative-transfer-learning-network-for-cross-machine-fault-diagnosis
Deep discriminative transfer learning network for cross-machine fault diagnosis
annotated_deep_learning_paper_implementations
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
GraphWaveletNeuralNetwork
A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)
gcn
Implementation of Graph Convolutional Networks in TensorFlow
maml_rl
Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
SR-GNN
[AAAI 2019] Source code and datasets for "Session-based Recommendation with Graph Neural Networks"
maml
Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
MAML-Pytorch
Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)