Maschinelles Lernen · GitHub

Unofficial PyTorch and torchvision builds for ARM devices

Semi-automatic feature engineering process using Language Models and your dataset descriptions. Based on the paper "LLMs for Semi-Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering" by Hollmann, Müller, and Hutter (2023).

Boltzmann Generators and Normalizing Flows in PyTorch

A smart camera app using react-native and tensorflow

ROS2 Self Driving Car using Deeplearning and Object Tracking through openCV

Network Intrusion Detection based on various machine learning and deep learning algorithms using UNSW-NB15 Dataset

A PyTorch implementation of the WaveGlow: A Flow-based Generative Network for Speech Synthesis

Summary of social recommendation papers and codes

Toolkit for machine learning in Clojure

Neural Essay Assessor: An Automated Essay Scoring System Based on Deep Neural Networks

[CVPR 2024] PyTorch implementation of NOPE: Novel Object Pose Estimation from a Single Image

Real-time hand pose estimation and gesture classification using TensorRT

NVIDIA-accelerated, deep learned model support for image space object detection

Official PyTorch Implementation of Long-Short Transformer (NeurIPS 2021).

[ICCV 2023] Official PyTorch implementation of FocalFormer3D

PyTorch implementation of the PoseCNN framework

Pytorch implementation of SSV: Self-Supervised Viewpoint Learning from Image Collections (CVPR 2020)

MMD-GAN: Towards Deeper Understanding of Moment Matching Network

Theano implementation of Tree RNNs aka Recursive Neural Networks.

Tensorflow implementation of Neural Scene Representation and Rendering

Usiigaci: stain-free cell tracking in phase contrast microscopy enabled by supervised machine learning

Physics Informed Neural Network (PINN) for the wave equation.

PyTorch implementation for Vision Transformer[Dosovitskiy, A.(ICLR'21)] modified to obtain over 90% accuracy FROM SCRATCH on CIFAR-10 with small number of parameters (= 6.3M, originally ViT-B has 86M).