This is the top-level project for the PULP Platform. It instantiates a PULP open-source system with a PULP SoC (microcontroller) domain accelerated by a PULP cluster with 8 cores.

Visual tracking library based on PyTorch.

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

PX4 Autopilot Software

Boosting Occluded Image Classification via Subspace Decomposition Based Estimation of Deep Features

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

Run macOS on QEMU/KVM. With OpenCore Monterey Ventura Sonoma support now! Only commercial (paid) support is available now to avoid spammy issues. No Mac system is required.

Open standard for machine learning interoperability

Face related datasets

Deep learning face detection and recognition, implemented by pytorch. (pytorch实现的人脸检测和人脸识别)

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, …

This branch is developed for deep face recognition

A curated list of awesome Deep Learning tutorials, projects and communities.

A curated list of awesome Deep Learning tutorials, projects and communities.

Deep Learning for humans

A curated list of deep learning resources for computer vision

A fork of Caffe with OpenMPI-based Multi-GPU (mainly data parallel) support for action recognition and more. More documentation please see the original readme.

Keras implementation for "Deep Networks with Stochastic Depth" http://arxiv.org/abs/1603.09382

Deep Learning GPU Training System

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

Python Tools for Visual Studio

Caffe on both Linux and Windows

Caffe: a fast open framework for deep learning.

Linux kernel source tree

scikit-learn: machine learning in Python

CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.

Conditional generative adversarial networks for convolutional face generation