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2015-terminal-interview-git

SYSU Apple Club - 2015 - Terminal Department - Second Round Interview - Git Learning

aphantasia

CLIP + FFT/DWT/RGB = text to image/video

books

useful books

boxdiff

[ICCV 2023] BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained Diffusion

clip

Contrastive Language-Image Pretraining

clip_prefix_caption

Simple image captioning model

club

Code for ICML2020 paper - CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information

codef

Official PyTorch implementation of CoDeF: Content Deformation Fields for Temporally Consistent Video Processing

cogvideo

Text-to-video generation. The repo for ICLR2023 paper "CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers"

cold-diffusion-models

Official implementation of Cold-Diffusion for different transformations in pytorch.

comfyui-dragnuwa

comfyui-marigold

Marigold depth estimation in ComfyUI

compositional-visual-generation-with-composable-diffusion-models-pytorch

Compositional Generation using Diffusion Models PyTorch (ECCV 2022)

counterfactual_generative_networks

[ICLR'21] Counterfactual Generative Networks

cream

[NeurIPS'20] Cream of the Crop: Distilling Prioritized Paths For One-Shot Neural Architecture Search

crop-clip

Crop using CLIP

cross-modal-retrieval

Activity image-based video retrieval

cs188

My learning of CS188

custom-diffusion

Custom Diffusion: Multi-Concept Customization of Text-to-Image Diffusion

cvpr23_lfdm

The pytorch implementation of our CVPR 2023 paper "Conditional Image-to-Video Generation with Latent Flow Diffusion Models"

dalle2-pytorch

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

datasciencecoursera

for Data Science class on Coursera

ddim

Denoising Diffusion Implicit Models

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

diffusers

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

dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

directinversion

Official repo for paper "Direct Inversion: Boosting Diffusion-based Editing with 3 Lines of Code"

distributed-pc-darts

Distributed implementation of PC-Darts.This code is based on the implementation of PC-Darts, it is able to searching and training on multi-nodes&multi-gpu with the method of distributed data parallel.Only the distributed search and retrain on Cifar10 implemented, you can modify it for your own datasets.

ditfusion

PyTorch Implementation of "Scalable Diffusion Models with Transformers" with author's tweaks

dna

Block-wisely Supervised Neural Architecture Search with Knowledge Distillation (CVPR 2020)