jaychen1996-byte

jaychen1996-byte's Stars

• huggingface/transformers

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  Language:Python133k26.5k

• OFA-Sys/Chinese-CLIP

  Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.

  Language:Python4.4k452

• jina-ai/finetuner

  :dart: Task-oriented embedding tuning for BERT, CLIP, etc.

  Language:Python1.5k66

• krahets/hello-algo

  《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新，English version ongoing

  Language:Java96.1k12.2k

• M-3LAB/Real3D-AD

  [NeurIPS 2023] Offical code for <Real3D-AD: A Dataset of Point Cloud Anomaly Detection>. A 3D point cloud anomaly detection dataset and benchmark.

  Language:Python1048

• jax-ml/jax

  Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

  Language:Python30.1k2.8k

• timojl/clipseg

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

  Language:Python1.1k108

• hq-deng/AnoVL

  Language:Python36

• mlfoundations/wise-ft

  Robust fine-tuning of zero-shot models

  Language:Python63266

• CASIA-IVA-Lab/AnomalyGPT

  [AAAI 2024 Oral] AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models

  Language:Python77394

• DonaldRR/SimpleNet

  Language:Python41962

• LAION-AI/scaling-laws-openclip

  Reproducible scaling laws for contrastive language-image learning (https://arxiv.org/abs/2212.07143)

  Language:Jupyter Notebook15112

• openai/CLIP

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

  Language:Jupyter Notebook25k3.2k

• nie-lang/UDIS2

  ICCV2023 - Parallax-Tolerant Unsupervised Deep Image Stitching (UDIS++)

  Language:Python16026

• mlfoundations/open_clip

  An open source implementation of CLIP.

  Language:Python9.9k957

• dvl-tum/GHOST

  Repository for GHOST: Simple Cues Lead to a Strong Multi-Object Tracker (CVPR 2023)

  Language:Python1015

• caoyunkang/WinClip

  [CVPR 2023] Unofficial re-implementation of "WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation".

  Language:Python24921

• ByChelsea/VAND-APRIL-GAN

  [CVPR 2023 Workshop] VAND Challenge: 1st Place on Zero-shot AD and 4th Place on Few-shot AD

  Language:Python19322

• M-3LAB/awesome-industrial-anomaly-detection

  Paper list and datasets for industrial image anomaly/defect detection (updating). 工业异常/瑕疵检测论文及数据集检索库(持续更新)。

  1.5k138

• caoyunkang/Segment-Any-Anomaly

  Official implementation of "Segment Any Anomaly without Training via Hybrid Prompt Regularization (SAA+)".

  Language:Jupyter Notebook71875

• facebookresearch/segment-anything

  The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

  Language:Jupyter Notebook47k5.6k

• carbon-language/carbon-lang

  Carbon Language's main repository: documents, design, implementation, and related tools. (NOTE: Carbon Language is experimental; see README)

  Language:C++32.2k1.5k

• CASIA-IVA-Lab/FastSAM

  Fast Segment Anything

  Language:Python7.4k693

• tinygrad/tinygrad

  You like pytorch? You like micrograd? You love tinygrad! ❤️

  Language:Python26.4k2.9k

• lartpang/ZoomNet

  Zoom In and Out: A Mixed-scale Triplet Network for Camouflaged Object Detection, CVPR 2022

  Language:Python12522

• open-mmlab/mmselfsup

  OpenMMLab Self-Supervised Learning Toolbox and Benchmark

  Language:Python3.2k428

• PlexPt/awesome-chatgpt-prompts-zh

  ChatGPT 中文调教指南。各种场景使用指南。学习怎么让它听你的话。

  52.3k13.5k

• microsoft/DeepSpeed

  DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

  Language:Python35k4.1k

• Significant-Gravitas/AutoGPT

  AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

  Language:Python167k44.2k

• reworkd/AgentGPT

  🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.

  Language:TypeScript31.5k9.2k