Github Pages template based upon HTML and Markdown for personal, portfolio-based websites.

Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight)

A learning rate range test implementation in PyTorch

Renderer for the harmony response format to be used with gpt-oss

gpt-oss-120b and gpt-oss-20b are two open-weight language models by OpenAI

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

A Library for Advanced Deep Time Series Models for General Time Series Analysis.

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

The Electricity Transformer dataset is collected to support the further investigation on the long sequence forecasting problem.

PyTorch Tutorial for Deep Learning Researchers

Implementations, Pre-training Code and Datasets of Large Time-Series Models

Official code, datasets and checkpoints for "Timer: Generative Pre-trained Transformers Are Large Time Series Models" (ICML 2024) and subsequent works

Tmux bash completion

Benchmarks of different devices I have come across

Tired of your bluetooth headphones pairing with a computer you thought was asleep ? This fixes that

List of implementation of SOTA deep anomaly detection methods

Code and data for the research paper "Towards Open Set Deep Networks" A Bendale, T Boult, CVPR 2016

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

The simplest, fastest repository for training/finetuning medium-sized GPTs.

An zsh-theme with informative git status, anaconda environment info and command execution time.

Installer & Activited Microsoft Office For MacOS

scripts for final project

A novel neural network for effective learning of highly impulsive/oscillatory dynamic systems by jointly utilizing low-order derivatives

MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.

PyTorch implementation of soft actor critic

A Collection of Variational Autoencoders (VAE) in PyTorch.

Official implementation of "Accelerating Reinforcement Learning with Learned Skill Priors", Pertsch et al., CoRL 2020