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Tensors and Dynamic neural networks in Python with strong GPU acceleration
Models and examples built with TensorFlow
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Efficiently Fine-Tune 100+ LLMs in WebUI (ACL 2024)
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
PyTorch Tutorial for Deep Learning Researchers
OpenMMLab Detection Toolbox and Benchmark
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,…
LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source …
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Graph Neural Network Library for PyTorch
Open source platform for the machine learning lifecycle
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
Python package built to ease deep learning on graph, on top of existing DL frameworks.
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
Code to accompany "A Method for Animating Children's Drawings of the Human Figure"
Geometric Computer Vision Library for Spatial AI
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
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.
A PyTorch implementation of the Transformer model in "Attention is All You Need".