Deep Learning for humans
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Clone a voice in 5 seconds to generate arbitrary speech in real-time
Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.
We write your reusable computer vision tools. 💜
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
deep learning for image processing including classification and object-detection etc.
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
Open standard for machine learning interoperability
TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way.
Convert Machine Learning Code Between Frameworks
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export.
Pre-Training with Whole Word Masking for Chinese BERT（中文BERT-wwm系列模型）
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.
A toolkit for reproducible reinforcement learning research.
Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.