Reinforcement learning and planning for Minecraft.

The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well a…

Official JAX implementation of Learning to (Learn at Test Time): RNNs with Expressive Hidden States

Official PyTorch implementation of Learning to (Learn at Test Time): RNNs with Expressive Hidden States

An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730

To be the world's best PyTorch project template.

PyTorch tutorials, examples and some books I found 【不定期更新】整理的PyTorch 最新版教程、例子和书籍

A resource for learning about Machine learning & Deep Learning

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

This repository contains a collection of resources and papers on Diffusion Models for RL, accompanying the paper "Diffusion Models for Reinforcement Learning: A Survey"

Universal and Transferable Attacks on Aligned Language Models

PyTorch implementation for Paper "StockFormer: Learning Hybrid Trading Machines with Predictive Coding".

TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.

Visualization toolkit for neural networks in PyTorch! Demo -->

《大模型白盒子构建指南》：一个全手搓的Tiny-Universe

《开源大模型食用指南》基于Linux环境快速部署开源大模型，更适合中国宝宝的部署教程

A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

Backup clash premium nightly and release

Bash script for installing V2Ray in operating systems such as Debian / CentOS / Fedora / openSUSE that support systemd

Official Code for ACL 2024 paper "GradSafe: Detecting Unsafe Prompts for LLMs via Safety-Critical Gradient Analysis"

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

Domain Generalization via Entropy Regularization, NeurIPS'20

A Collection of Variational Autoencoders (VAE) in PyTorch.

Unofficial Implementation of "Gcan: Graph convolutional adversarial network for unsupervised domain adaptation." for a Deep Learning project (University project)

[ICCV2023 Best Paper Finalist] PyTorch implementation of DiffusionDet (https://arxiv.org/abs/2211.09788)

[ICLR 2023] Official implementation of the paper "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection"

Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah

Code for Fast Training of Diffusion Models with Masked Transformers