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🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Models and examples built with TensorFlow
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《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
Making large AI models cheaper, faster and more accessible
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
OpenMMLab Detection Toolbox and Benchmark
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
A high-throughput and memory-efficient inference and serving engine for LLMs
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
End-to-End Object Detection with Transformers
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
Fast and memory-efficient exact attention
Ongoing research training transformer models at scale
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
Large Language Model Text Generation Inference
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
Object detection, 3D detection, and pose estimation using center point detection:
A Keras implementation of YOLOv3 (Tensorflow backend)
PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.