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Tensors and Dynamic neural networks in Python with strong GPU acceleration
Models and examples built with TensorFlow
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
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…
OpenMMLab Detection Toolbox and Benchmark
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Image-to-Image Translation in PyTorch
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Datasets, Transforms and Models specific to Computer Vision
Image augmentation for machine learning experiments.
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
Deep learning library featuring a higher-level API for TensorFlow.
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
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
abusing github commit history for the lulz
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
Object detection, 3D detection, and pose estimation using center point detection:
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, …
Learning to See in the Dark. CVPR 2018
Web interface for browsing, search and filtering recent arxiv submissions
Uplift modeling and causal inference with machine learning algorithms
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722