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🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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A curated list of awesome Machine Learning frameworks, libraries and software.
AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
TensorFlow code and pre-trained models for BERT
2023年最新总结，阿里，腾讯，百度，美团，头条等技术面试题目，以及答案，专家出题人分析汇总。
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Python sample codes and textbook for robotics algorithms.
deep learning for image processing including classification and object-detection etc.
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
PyTorch implementations of Generative Adversarial Networks.
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
Image augmentation for machine learning experiments.
End-to-End Object Detection with Transformers
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
InstantID: Zero-shot Identity-Preserving Generation in Seconds 🔥
A paper list of object detection using deep learning.
The official GitHub page for the survey paper "A Survey of Large Language Models".
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
A collaboration friendly studio for NeRFs