inspirit

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.

alpaca-lora

Instruct-tune LLaMA on consumer hardware

flash-attention

Fast and memory-efficient exact attention

img2dataset

Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.

baize-chatbot

Let ChatGPT teach your own chatbot in hours with a single GPU!

musiclm-pytorch

Implementation of MusicLM, Google's new SOTA model for music generation using attention networks, in Pytorch

mamba-minimal

Simple, minimal implementation of the Mamba SSM in one file of PyTorch.

ZoeDepth

Metric depth estimation from a single image

Time-Series-Works-Conferences

Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)

All-In-One-Deflicker

[CVPR2023] Blind Video Deflickering by Neural Filtering with a Flawed Atlas

voicebox-pytorch

Implementation of Voicebox, new SOTA Text-to-speech network from MetaAI, in Pytorch

slahmr

Crossformer

Official implementation of our ICLR 2023 paper "Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting"

iTransformer

Unofficial implementation of iTransformer - SOTA Time Series Forecasting using Attention networks, out of Tsinghua / Ant group

classifier-free-guidance-pytorch

Implementation of Classifier Free Guidance in Pytorch, with emphasis on text conditioning, and flexibility to include multiple text embedding models

Music-Source-Separation-Training

Repository for training models for music source separation.

learned_inertial_model_odometry

This repo contains the code of the paper "Learned Inertial Odometry for Autonomous Drone Racing", RA-L 2023.

Koopa

Code release for "Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors" (NeurIPS 2023), https://arxiv.org/abs/2305.18803

spacetime

Code for SpaceTime 🌌⏱️. Proposed in Effectively Modeling Time Series with Simple Discrete State Spaces, ICLR 2023.

INT8-Flash-Attention-FMHA-Quantization

vqf

DisentangledColorization

A colorization framework that disentangles the color multimodality and the structural consistency via adaptively located anchors, so that both aspects can be achieved effectively. [SIGGRAPH Asia 2022]

ModernTCN

This is an official implementation of "ModernTCN: A Modern Pure Convolution Structure for General Time Series Analysis" (ICLR 2024 Spotlight), https://openreview.net/forum?id=vpJMJerXHU

TPDNE

Thispersondoesnotexist went down, so this time, while building it back up, I am going to open source all of it.

videogigagan-pytorch

Implementation of VideoGigaGAN, SOTA video upsampling out of Adobe AI labs, in Pytorch

LIFT

The official implementation of LIFT (ICLR'24). Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators.

TimesURL

The implementation of "TimesURL: Self-supervised Contrastive Learning for Universal Time Series Representation Learning"

DiffSES

📜 [Under Review] "Symbolic Visual Reinforcement Learning: A Scalable Framework with Object-Level Abstraction and Differentiable Expression Search", Wenqing Zheng*, S P Sharan*, Zhiwen Fan, Kevin Wang, Yihan Xi, Atlas Wang