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AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Models and examples built with TensorFlow
A curated list of awesome Machine Learning frameworks, libraries and software.
scikit-learn: machine learning in Python
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
High-Resolution Image Synthesis with Latent Diffusion Models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
PyTorch Tutorial for Deep Learning Researchers
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
⚡机器学习实战(Python3):kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
Hackable and optimized Transformers building blocks, supporting a composable construction.
An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.
Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System
A faster pytorch implementation of faster r-cnn
BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
Basic Machine Learning and Deep Learning
PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722
OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
Torchreid: Deep learning person re-identification in PyTorch.