6446 Open source projects that are alternatives of or similar to Hmm_for_autonomous_driving

Some of my simple neural networks

Stress-based Graph Drawing by Stochastic Gradient Descent

Skoltech 2017 NLA course

Tutorials of TensorFlow eager execution

An example on how Correlation Matrix can be displayed and clustered

A temporal music synthesizer

MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction (Bioinformatics)

Repo for articles in my personal blog and Medium

PyTorch implement of Google Deep Dream

Fork of Tensorpack to make breaking performance improvements to the Mask RCNN example. Training is approximately 2x faster than the original implementation on AWS.

Easily create native mobile applications.

Follow the impact of COVID-19 outbreak in Latin America in real time

https://www.kaggle.com/c/carvana-image-masking-challenge

PaCMAP: Large-scale Dimension Reduction Technique Preserving Both Global and Local Structure

Hyperbolic Visual Embedding Learning for Zero-Shot Recognition (CVPR 2020)

Alfabattle 2.0 1st task Top-6 solution: 8-folds lgbm blend

tensorflow implementation

Quick python code to scrape the latest data from all the global surface temperature datasets and return it on a common baseline period.

Materials for a course on scikit-learn at ENSAE

Solution for https://www.coursera.org/learn/language-processing

A julia package for Gradient Descent and Stochastic Gradient Descent

History Graphs about MySQL and forks

Child Growth Monitor Machine Learning

Painless conjugate gradient notebooks

A comparative assessment of machine learning classification algorithms applied to poverty prediction

AI SDTM mapping (R for ML, Python, TensorFlow for DL)

真AI人工智能

STAT406 @ UBC - "Elements of Statistical Learning"

The source code to reproduce the results reported in the 'Federated Online Learning to Rank with Evolution Strategies' paper, published at WSDM 2019.

Fine-grained ImageNet annotations

It contains the Attention-56 and Attention-96 models built from scratch in keras. Residual Attention Networks are described in the paper "Residual Attention Network for Image Classification"(https://arxiv.org/pdf/1704.06904.pdf).

Repo for Zillow Web scraper

MSc group project: Reproduction of 'Multi-Task Learning using Uncertainty to Weigh Losses for Scene Geometry and Semantics'; A. Kendall, Y. Gal, R. Cipolla

Repository for OSGeo-Live Jupyter Notebooks

Algorithmic trading platform for multiple assets

MovieLens based recommender system.使用MovieLens数据集训练的电影推荐系统。

DeepRacer workshop content

Notebooks for playing around with datasets etc.

The implementation of Relativistic average GAN with Keras

Computer vision on 🍓

Pytorch code for multi-Instance multi-label problem

word2vec workshop - a conceptual introduction and practical application

The PiThermalCam Project connects an MLX90640 Thermal IR Camera to a Raspberry Pi for viewing or web streaming.

Slides and Supplementary Material of the past TechTalks at the Karlsruhe Machine Learning, Statistics and AI Meetup

PyTorch code for Paper "Uncertainty Estimations by Softplus normalization in Bayesian Convolutional Neural Networks with Variational Inference"

MNIST Clasification with Pytorch

Automatic Hand-to-Eye Calibration for Dobot Magician and Realsense D415

Laboratoires du cours GLO-4030/GLO-7030

Web scraping, APIs, and Twitter

🚚 Agile Data Preparation Workflows made easy with dask, cudf, dask_cudf and pyspark

Alpine Container for Machine Learning

Implementation of different techniques to find insights from the satellite data using Python.

Dockerfile of Jupyter (IPython notebook) and IOCaml (OCaml kernel) with libraries for data science and machine learning

Variational Reccurrent Autoencoder for Embedding stocks to vectors based on the price history

图灵联邦视频点击预测大赛线上第三-【ctr, embedding, 穿越特征】