EricBooob

EricBooob's Stars

• lllyasviel/ControlNet

  Let us control diffusion models!

  Language:Python31.3k2195642.8k

• openai/CLIP

  CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

  Language:Jupyter Notebook27.1k3274073.4k

• svc-develop-team/so-vits-svc

  SoftVC VITS Singing Voice Conversion

  Language:Python26.4k1801304.9k

• karpathy/llm.c

  LLM training in simple, raw C/CUDA

  Language:Cuda25.1k2551422.9k

• xianhu/LearnPython

  以撸代码的形式学习Python

  Language:Jupyter Notebook7.8k446234k

• timothybrooks/instruct-pix2pix

  Language:Python6.5k69130544

• openai/improved-diffusion

  Release for Improved Denoising Diffusion Probabilistic Models

  Language:Python3.4k120138494

• luhuisicnu/The-Flask-Mega-Tutorial-zh

  翻译自Miguel Grinberg的blog https://blog.miguelgrinberg.com 的2017年新版The Flask Mega-Tutorial教程

  3.3k12826891

• sthalles/SimCLR

  PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

  Language:Jupyter Notebook2.3k2158469

• KaiyangZhou/CoOp

  Prompt Learning for Vision-Language Models (IJCV'22, CVPR'22)

  Language:Python1.9k1683206

• jiaweizzhao/GaLore

  GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection

  Language:Python1.5k1955154

• rmokady/CLIP_prefix_caption

  Simple image captioning model

  Language:Jupyter Notebook1.3k781218

• timojl/clipseg

  This repository contains the code of the CVPR 2022 paper "Image Segmentation Using Text and Image Prompts".

  Language:Python1.2k1454112

• baofff/U-ViT

  A PyTorch implementation of the paper "All are Worth Words: A ViT Backbone for Diffusion Models".

  Language:Jupyter Notebook957122867

• Tongzhenguo/ebooks

  我的大数据学习书单

  Language:Python581250242

• LiheYoung/UniMatch

  [CVPR 2023] Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation

  Language:Python499312061

• Haochen-Wang409/U2PL

  [CVPR'22 & IJCV'24] Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels & Using Unreliable Pseudo-Labels for Label-Efficient Semantic Segmentation

  Language:Python446517061

• j-min/CLIP-Caption-Reward

  PyTorch code for "Fine-grained Image Captioning with CLIP Reward" (Findings of NAACL 2022)

  Language:Python24051226

• weijiawu/DiffuMask

  [ICCV2023] DiffuMask: Synthesizing Images with Pixel-level Annotations for Semantic Segmentation Using Diffusion Models

  Language:Python1673911

• dhg-wei/DeCap

  ICLR 2023 DeCap: Decoding CLIP Latents for Zero-shot Captioning

  Language:Jupyter Notebook127297

• mlpc-ucsd/MaskCLIP

  Code Release for MaskCLIP (ICML 2023)

  Language:Python60374

• zhixuanli/segmentation-paper-reading-notes

  segmentation paper reading notes

  55517

• LiheYoung/ShrinkMatch

  [ICCV 2023] Shrinking Class Space for Enhanced Certainty in Semi-Supervised Learning

  Language:Python47323

• Jianf-Wang/NP-SemiSeg

  A Pytorch implementation of ICML 2023 paper "NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic Segmentation"

  Language:Python36333

• yangbang18/MultiCapCLIP

  (ACL'2023) MultiCapCLIP: Auto-Encoding Prompts for Zero-Shot Multilingual Visual Captioning

  Language:Python35351

• jssprz/visual_syntactic_embedding_video_captioning

  Source code of the paper titled *Improving Video Captioning with Temporal Composition of a Visual-Syntactic Embedding*

  Language:Python302128

• xN1ckuz/Crosswalks-Detection-using-YOLO

  Crosswalks Detection using YOLO, project for Computer Vision and Machine Perception course at University of Basilicata, Computer Science and Engineering.

  Language:Jupyter Notebook24119

• Jumponthemoon/WeatherDG

  Official implementation of "WeatherDG: LLM-assisted Procedural Weather Generation for Domain-Generalized Semantic Segmentation"

  Language:Python23224

• liupeng0606/clip4caption

  The first unofficial implementation of CLIP4Caption: CLIP for Video Caption (ACMMM 2021)

  Language:Python14004

• nickliqian/simple_number_recognition

  使用PIL和几种分类算法对标准数字图片进行识别。

  Language:Python300