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YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型
AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Image-to-Image Translation in PyTorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
🎬 人人影视 机器人和网站，包含人人影视全部资源以及众多网友的网盘分享
Python version of the Playwright testing and automation library.
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
InstantID: Zero-shot Identity-Preserving Generation in Seconds 🔥
Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
🎨 Generate and change color-schemes on the fly.
Diff Match Patch is a high-performance library in multiple languages that manipulates plain text.
Minimal PyTorch implementation of YOLOv3
[CVPR 2020] 3D Photography using Context-aware Layered Depth Inpainting
[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
Official Tensorflow implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation (ICLR 2020)
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
Progressive Growing of GANs for Improved Quality, Stability, and Variation