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🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
The Web framework for perfectionists with deadlines.
Models and examples built with TensorFlow
A curated list of awesome Machine Learning frameworks, libraries and software.
《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。
openpilot is an operating system for robotics. Currently, it upgrades the driver assistance system on 275+ supported cars.
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.
OpenMMLab Detection Toolbox and Benchmark
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…
This is a fun, new monospaced font that includes programming ligatures and is designed to enhance the modern look and feel of the Windows Terminal.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
State-of-the-art 2D and 3D Face Analysis Project
Image-to-Image Translation in PyTorch
Magenta: Music and Art Generation with Machine Intelligence
PyTorch implementations of Generative Adversarial Networks.
Datasets, Transforms and Models specific to Computer Vision
Code samples for my book "Neural Networks and Deep Learning"
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
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.
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.