fatmelon
Follow
Stars
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
A curated list of awesome Machine Learning frameworks, libraries and software.
scikit-learn: machine learning in Python
TensorFlow code and pre-trained models for BERT
LlamaIndex is a data framework for your LLM applications
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Glances an Eye on your system. A top/htop alternative for GNU/Linux, BSD, Mac OS and Windows operating systems.
☁️ Build multimodal AI applications with cloud-native stack
State-of-the-Art Text Embeddings
Image augmentation for machine learning experiments.
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
A very simple framework for state-of-the-art Natural Language Processing (NLP)
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
100+ Chinese Word Vectors 上百种预训练中文词向量
TensorFlow CNN for fast style transfer ⚡🖥🎨🖼
Modin: Scale your Pandas workflows by changing a single line of code
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
A PyTorch implementation of the Transformer model in "Attention is All You Need".
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
A Python implementation of global optimization with gaussian processes.
A PyTorch implementation of EfficientNet
all kinds of text classification models and more with deep learning