Maschinelles Lernen · GitHub

Code for DeepCubeA, a Deep Reinforcement Learning algorithm that can learn to solve the Rubik's cube.

Clean, scalable and easy to use ResNet implementation in Pytorch

PubMed 200k RCT dataset: a large dataset for sequential sentence classification.

Official repository of the Fried Rice Lab, including code resources of the following our works: ESWT [arXiv], etc. This repository also implements many useful features and out-of-the-box image restoration models.

Pytorch implementation of "SinGAN: Learning a Generative Model from a Single Natural Image"

A PyTorch implementation of "TasNet: Surpassing Ideal Time-Frequency Masking for Speech Separation" (see recipes in aps framework https://github.com/funcwj/aps)

MatDeepLearn, package for graph neural networks in materials chemistry

RM Operation can equivalently convert ResNet to VGG, which is better for pruning; and can help RepVGG perform better when the depth is large.

A python package for benchmarking interpretability techniques on Transformers.

Live-Transcription (STT) with Whisper PoC

A PyTorch implementation of OpenAI's REPTILE algorithm

A PyTorch Implementation of Jiaxuan You's Deep Gaussian Process for Crop Yield Prediction

Simplify the training and tuning of Tensorflow models

The code for the book Learning TensorFlow.js by Gant Laborde - Published by O'Reilly Media

Implementation of CVPR'21: RfD-Net: Point Scene Understanding by Semantic Instance Reconstruction

FashionAI Key Points Detection using CPN model in Pytorch

Implementation of papers on Deep Seq2seq learning using Pytorch.

Kito is a PyTorch training library built to simplify (scientific) experimentation processes of deep learning developers. You write the model and a config; Engine runs the training and validation loops, checkpointing, logging, inference and distributed training (DDP).

pytorch code of multi scale 1d resnet, we hope it will help your research

List of pathology feature extractors and foundation models

Transfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!

Drag and drop Unreal Engine TensorFlow examples repository.

A Python framework for program synthesis with a focus on Automated Machine Learning.