Maschinelles Lernen · GitHub

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

Official Pytorch implementation of 'RoI Tanh-polar Transformer Network for Face Parsing in the Wild.'

Building Agents with Imagination: pytorch step-by-step implementation

[wip] Deep Learning Compiler based on Polyhedral Compiler, Light-weight IRs, and Optimizing Pattern Matcher. (development is on hold)

HILO-MPC is a Python toolbox for easy, flexible and fast development of machine-learning-supported optimal control and estimation problems

A list of resources for all invited talks, tutorials, workshops and presentations at NIPS 2016

Kayak is a library for automatic differentiation with applications to deep neural networks.

MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20

Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).

MoDL: Model-Based Deep Learning Architecture for Inverse Problems

[NeurIPS 2024] Code for the paper "Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language Models"

VggML (ICPR 2018, Beijing)

Implementation of ICRA 2019 paper: Beyond Photometric Loss for Self-Supervised Ego-Motion Estimation

python3 / Implementation of Google Brain's BEGAN in Tensorflow

One Shot Learning using Memory-Augmented Neural Networks (MANN) based on Neural Turing Machine architecture in Tensorflow

Source code for the book Core ML Survival Guide

目标是提供一个完整的Java机器学习(Machine Learning/ML)框架,作为人工智能在学术界与工业界的桥梁. 让相关领域的研发人员能够在各种软硬件环境/数据结构/算法/模型之间无缝切换. 涵盖了从数据处理到模型的训练与评估各个环节,支持硬件加速和并行计算,是最快最全的Java机器学习库.

Public GitHub repository

Knowledge distillation in text classification with pytorch. 知识蒸馏，中文文本分类，教师模型BERT、XLNET，学生模型biLSTM。

使用深度学习算法实现虚拟试衣镜，结合了人体姿态估计、人体分割、几何匹配和GAN，四种模型。仅仅只依赖opencv库就能运行

BMXNet 2: An Open-Source Binary Neural Network Implementation Based on MXNet