An elegant PyTorch deep reinforcement learning library.
- pytorch
- policy-gradient
- dqn
- double-dqn
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An elegant PyTorch deep reinforcement learning library.
Fast and Accurate ML in 3 Lines of Code
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
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.
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
TranslatedTranslate manga/image: one-click translation of text in all kinds of images https://cotrans.touhou.ai/ (no longer working)
Tool for real-time visualization, monitoring and collaborative analysis of AI/ML experiments and live data. Supports Python, PyTorch/Torch, NumPy, TensorFlow/Keras https://visdom.dev
TranslatedPre-Training with Whole Word Masking for Chinese BERT (Chinese BERT-wwm series models)
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
Deep universal probabilistic programming with Python and PyTorch
AI Toolkit for Healthcare Imaging
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
OpenMMLab's next-generation platform for general 3D object detection.
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.
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
Superduper: End-to-end framework for building custom AI applications and agents.
A simple, fully convolutional model for real-time instance segmentation.
A PyTorch Library for Accelerating 3D Deep Learning Research
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.