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Robust Speech Recognition via Large-Scale Weak Supervision
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
提取微信聊天记录,将其导出成HTML、Word、Excel文档永久保存,对聊天记录进行分析生成年度聊天报告,用聊天数据训练专属于个人的AI聊天助手
PyTorch Tutorial for Deep Learning Researchers
Rembg is a tool to remove images background
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
GUI for ChatGPT API and many LLMs. Supports agents, file-based QA, GPT finetuning and query with web search. All with a neat UI.
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
A collaboration friendly studio for NeRFs
The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
Companion code to my O'Reilly book "Flask Web Development", second edition.
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Background Remover lets you Remove Background from images and video using AI with a simple command line interface that is free and open source.
Real-Time High-Resolution Background Matting
Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.
OpenMMLab Pose Estimation Toolbox and Benchmark.
FlagAI (Fast LArge-scale General AI models) is a fast, easy-to-use and extensible toolkit for large-scale model.
A PyTorch implementation of the YOLO v3 object detection algorithm
[SIGGRAPH'24] 2D Gaussian Splatting for Geometrically Accurate Radiance Fields
proof of concept for a transformer-based time series prediction model
Official Code for "SMPLer-X: Scaling Up Expressive Human Pose and Shape Estimation"
Code of [CVPR 2024] "Animatable Gaussians: Learning Pose-dependent Gaussian Maps for High-fidelity Human Avatar Modeling"
LenKiMo / byte-of-python
Forked from swaroopch/byte-of-python《简明 Python 教程》V4.0c 2017 译本 /A Byte of Python 2017 Simplified Chinese Translation Edition
Matting Anything Model (MAM), an efficient and versatile framework for estimating the alpha matte of any instance in an image with flexible and interactive visual or linguistic user prompt guidance.
The official implementation of "CityDreamer: Compositional Generative Model of Unbounded 3D Cities". (CVPR 2024)