zzw-zwzhang Goto Github PK

accountable-textual-visual-chat

The official repository for Accountable Textual-Visual Chat Learns to Reject Human Instructions in Image Re-creation.

awesome-of-long-tailed-recognition

A curated list of long-tailed recognition resources.

awesome-of-multimodal-dialogue-models

A curated list of multimodal dialogue models resources.

awesome-of-neural-rendering

A curated list of neural rendering resources.

awesome-of-template

awesome-of-time-series-augmentation

A curated list of time series augmentation resources.

awesome-of-time-series-prediction

A curated list of time series prediction resources.

awesome-of-vision-language-pretraining

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

camel

🐫 CAMEL: Communicative Agents for “Mind” Exploration of Large Scale Language Model Society

camel-gpt-engineer

cifar-training

Training code for CIFAR-10/100, MNIST, F-MNIST.

class-balanced-loss-pytorch

Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"

dalle2-pytorch

Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch

dcrnn_pytorch

Diffusion Convolutional Recurrent Neural Network Implementation in PyTorch

ddim

Denoising Diffusion Implicit Models

ganomaly

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

google-research

Google Research

gpt-engineer

Specify what you want it to build, the AI asks for clarification, and then builds it.

graf

Official code release for "GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis"

gts

Discrete Graph Structure Learning for Forecasting Multiple Time Series, ICLR 2021.

imagen-pytorch

Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

informer2020

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

interesting-works-2021

I am paying attention to the development of information bottleneck theoty, SGD, 2nd-order optimization, et al.

interesting-works-2022

ldam-drw

[NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss

lsun

LSUN Dataset Documentation and Demo Code

mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

matrix-alpha.github.io

https://matrix-alpha.github.io/

mega-pytorch

Implementation of Mega, the Single-head Attention with Multi-headed EMA architecture that currently holds SOTA on Long Range Arena