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100-days-of-ml-code

100 Days of ML Coding

accuratetracking

Mobile App for real-time location and travel history tracking. Detects anomaly in case of deviation from original route

alphafold

Open source code for AlphaFold.

alphatensor

amazon-kinesis-analytics-realtime-anomaly-detection

Sample for the German article "Anomalie-Erkennung für Echtzeit-Datenströme" by Constantin Gonzalez and Florian Mair published in Big Data Insider.

amazon-kinesis-analytics-taxi-consumer

Sample Apache Flink application that can be deployed to Kinesis Analytics for Java. It reads taxi events from a Kinesis data stream, processes and aggregates them, and ingests the result to an Amazon Elasticsearch Service cluster for visualization with Kibana.

awesome-computer-vision

A curated list of awesome computer vision resources

awesome-interview-questions

:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:

awesome-llmops

An awesome & curated list of best LLMOps tools for developers

awesome-masked-autoencoders

A collection of literature after or concurrent with Masked Autoencoder (MAE) (Kaiming He el al.).

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

awesome-vision-and-language

A curated list of awesome vision and language resources (still under construction... stay tuned!)

awesome-vision-language-pretraining-papers

Recent Advances in Vision and Language PreTrained Models (VL-PTMs)

awesome-visual-transformer

Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)

beep

Code repository for BEEP (Biomedical Evidence Enhanced Predictions) clinical outcome prediction system

big-tech-engineering-blogs

A curated list of engineering blogs

ble_tracking

boilerplate-code-django-dashboard

Boilerplate Code - Django Dashboard | AppSeed

cen

Contextual Explanation Networks (CEN).

cla-706315-from-explainable-ai-to-causability-class-2019

This is the class of 2019 of the course "From explainable AI to Causability"

cla-seminar-explainable-ai-2019

This is accompanying the course Seminar Explainable AI given by Andreas Holzinger 2019

codellama

Inference code for CodeLlama models

codoc

computer-science-reference-books

"The question of whether a computer can think is no more interesting than the question of whether a submarine can swim." ― Edsger W. Dijkstra

cvpr2023-papers-with-code

CVPR 2023 论文和开源项目合集

d2l-en

dive into deeplearning updated version

data-engineering-nanodegree

Udacity Data Engineering nanodegree programme

data-science-interview-preperation-resources

Resoruce to help you to prepare for your comming data science interviews

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

depth-anything

Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data