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Tensors and Dynamic neural networks in Python with strong GPU acceleration
A high-throughput and memory-efficient inference and serving engine for LLMs
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Faker is a Python package that generates fake data for you.
An extremely fast Python type checker and language server, written in Rust.
A high-performance, zero-overhead, extensible Python compiler with built-in NumPy support
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
Image augmentation for machine learning experiments.
A very fast and expressive template engine.
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
A PyTorch implementation of EfficientNet
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
Extract Keywords from sentence or Replace keywords in sentences.
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
Connexion is a modern Python web framework that makes spec-first and api-first development easy.
A light-weight, flexible, and expressive statistical data testing library
3D ResNets for Action Recognition (CVPR 2018)
Produce redistributable builds of Python