Repository Index

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

Techniques for deep learning with satellite & aerial imagery

• deep-learning
• deep-neural-networks
• satellite-imagery
• pytorch

TranslatedPre-Training with Whole Word Masking for Chinese BERT (Chinese BERT-wwm series models)

• chinese-bert
• tensorflow
• pytorch
• bert

:robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)

• deep-learning
• text-to-speech
• python
• pytorch

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.

• deep-learning
• pytorch
• ai
• mlops

http://torch.ch

Deep universal probabilistic programming with Python and PyTorch

• python
• pytorch
• machine-learning
• bayesian

AI Toolkit for Healthcare Imaging

• healthcare-imaging
• deep-learning
• medical-image-computing
• medical-image-processing

tensorboard for pytorch (and chainer, mxnet, numpy, ...)

• pytorch
• tensorboard
• machine-learning
• visualization

Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

• python
• nlp
• natural-language-processing
• machine-learning

A course in reinforcement learning in the wild

• reinforcement-learning
• course-materials
• deep-learning
• deep-reinforcement-learning

OpenMMLab's next-generation platform for general 3D object detection.

• pytorch
• 3d-object-detection
• object-detection
• point-cloud

Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.

• python
• ai
• data-science
• data-visualization

A scikit-learn compatible neural network library that wraps PyTorch

• scikit-learn
• pytorch
• machine-learning
• huggingface

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.

• cntk
• visualization
• tensorflow
• model-converter

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

• point-cloud
• 3d-detection
• autonomous-driving
• pv-rcnn

ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.

• mlops
• machine-learning
• data-science
• production-ready

Superduper: End-to-end framework for building custom AI applications and agents.

• ai
• mlops
• torch
• transformers

A simple, fully convolutional model for real-time instance segmentation.

• realtime
• real-time
• instance-segmentation
• yolact

A PyTorch Library for Accelerating 3D Deep Learning Research

• pytorch
• 3d-deep-learning
• neural-networks
• differentiable-rendering

High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

• pytorch
• neural-network
• python
• machine-learning

A unified, comprehensive and efficient recommendation library

• recommender-systems
• collaborative-filtering
• knowledge-graph
• ctr-prediction

Scalable and user friendly neural :brain: forecasting algorithms.

• deep-learning
• forecasting
• esrnn
• nbeats