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Automate Fashion Image Captioning using BLIP-2. Automatic generating descriptions of clothes on shopping websites, which can help customers without fashion knowledge to better understand the featur…
Transform Video as a Document with ChatGPT, CLIP, BLIP2, GRIT, Whisper, LangChain.
ChatLaw：A Powerful LLM Tailored for Chinese Legal. 中文法律大模型
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
Segment Anything in High Quality [NeurIPS 2023]
CVPR2023 (highlight) - A Dynamic Multi-Scale Voxel Flow Network for Video Prediction
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
QUANTAXIS 支持任务调度 分布式部署的 股票/期货/期权 数据/回测/模拟/交易/可视化/多账户 纯本地量化解决方案
Hikyuu Quant Framework 基于C++/Python的极速开源量化交易研究框架，同时可基于策略部件进行资产重用，快速累积策略资产。
深度学习总结，包含基础知识、目标检测、目标跟踪、目标分类，深度学习八股文，相关竞赛等
Generalized Texture Compression -- Aimed to provide GPU-decompress and higher compression rates.
A GPU huffman decoder for iOS on top of Metal
GPU implementation of a fast generalized ANS (asymmetric numeral system) entropy encoder and decoder, with extensions for lossless compression of numerical and other data types in HPC/ML applications.
The Official PyTorch Implementation for Face2Face^ρ (ECCV2022)
happy-jihye / face-vid2vid-demo
Forked from zhanglonghao1992/One-Shot_Free-View_Neural_Talking_Head_SynthesisUnofficial pytorch implementation of paper "One-Shot Free-View Neural Talking-Head Synthesis for Video Conferencing"
从吴师兄算法中备份其github 仓库 `https://github.com/MisterBooo/LeetCodeAnimation`
Code for Motion Representations for Articulated Animation paper
Online Multi-Granularity Distillation for GAN Compression (ICCV2021)
Image translation for paired image datasets (AUTOMAP + Pix2pix)
Official Pytorch implementation of 'RoI Tanh-polar Transformer Network for Face Parsing in the Wild.'
Depth-Aware Video Frame Interpolation (CVPR 2019)
[CVPR 2022] Official PyTorch Implementation of "AdaInt: Learning Adaptive Intervals for 3D Lookup Tables on Real-time Image Enhancement" (https://arxiv.org/abs/2204.13983)