SeongwoongCho

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, ... 🧠

unilm

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

PRML

PRML algorithms implemented in Python

the-algorithm-ml

Source code for Twitter's Recommendation Algorithm

x-transformers

A simple but complete full-attention transformer with a set of promising experimental features from various papers

really-awesome-gan

A list of papers on Generative Adversarial (Neural) Networks

efficient-kan

An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).

awesome-implicit-representations

A curated list of resources on implicit neural representations.

involution

[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator

torch-fidelity

High-fidelity performance metrics for generative models in PyTorch

mindall-e

PyTorch implementation of a 1.3B text-to-image generation model trained on 14 million image-text pairs

multimodal-prompt-learning

[CVPR 2023] Official repository of paper titled "MaPLe: Multi-modal Prompt Learning".

DexterousHands

This is a library that provides dual dexterous hand manipulation tasks through Isaac Gym

ithaca

Restoring and attributing ancient texts using deep neural networks

robomimic

robomimic: A Modular Framework for Robot Learning from Demonstration

DenseCLIP

[CVPR 2022] DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting

Make-A-Scene

Pytorch implementation of Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors

visual_token_matching

[ICLR'23 Oral] Universal Few-shot Learning of Dense Prediction Tasks with Visual Token Matching

Physiological-Signal-Classification-Papers

A list of papers for physiological signal classification using machine learning/deep learning.

CAE

This is a PyTorch implementation of “Context AutoEncoder for Self-Supervised Representation Learning"

PS-ViT

Official implementation of the paper Vision Transformer with Progressive Sampling, ICCV 2021.

DALLE-datasets

This is a summary of easily available datasets for generalized DALLE-pytorch training.

hot

[NeurIPS'21] Higher-order Transformers for sets, graphs, and hypergraphs, in PyTorch

PaintMind

Fast and controllable text-to-image model.

PyTorch-SM3

Implements the SM3-II adaptive optimization algorithm for PyTorch.

ndr

The official repository for our paper "The Neural Data Router: Adaptive Control Flow in Transformers Improves Systematic Generalization".

DMIL

Code for Transfering Hierarchical Structure with Dual Meta Imitation Learning.

Line-Art-Colorization-SPADE

SPADE-based Line Art Colorization

premier-taco

multi_task_neural_processes

[ICLR'22] Multi-Task Neural Processes