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Visual SLAM/odometry package based on NVIDIA-accelerated cuVSLAM
Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models l…
PyTorch and TensorFlow implementation of NCP, LTC, and CfC wired neural models
Official implementation of the Averaged Gradient Episodic Memory (A-GEM) in Tensorflow
Dual Memory Replay for Online Continual Learning on Edge Devices
Automatic generation of FPGA-based learning accelerators for the neural network family
A collection of research papers on efficient training of DNNs
Implementation of "NITI: Training Integer Neural Networks Using Integer-only Arithmetic" on arxiv
A collection of AWESOME things about domian adaptation
Pretrained models for TensorFlow.js
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Superpoint Implemented in PyTorch: https://arxiv.org/abs/1712.07629
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
Implements an Automatic Modulation Classification algorithm using techonologies such as Python and Machine Learning.
A list of ICs and IPs for AI, Machine Learning and Deep Learning.
FPGA based acceleration of Convolutional Neural Networks. The project is developed by Verilog for Altera DE5 Net platform.
This repository provides the implementation of the method proposed in our paper "Pruning Deep Neural Networks using Partial Least Squares"
Deep Learning Accelerator Based on Eyeriss V2 Architecture with custom RISC-V extended instructions
This page is for the SlimYOLOv3: Narrower, Faster and Better for UAV Real-Time Applications
QKeras: a quantization deep learning library for Tensorflow Keras
A resource for learning about Machine learning & Deep Learning