mobatmedia's Stars
AIHawk-FOSS/Auto_Jobs_Applier_AI_Agent
Auto_Jobs_Applier_AI_Agent by AIHawk is an AI Agent that automates the jobs application process. Utilizing artificial intelligence, it enables users to apply for multiple jobs in an automated and personalized way.
acheong08/ChatGPT
Reverse engineered ChatGPT API
joshcho/ChatGPT.el
ChatGPT in Emacs
Trevoke/org-gtd.el
A package for using GTD with org-mode
graykode/nlp-tutorial
Natural Language Processing Tutorial for Deep Learning Researchers
donnemartin/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
bethatkinson/rpart
Recursive Partitioning and Regression Trees
toddwschneider/nyc-taxi-data
Import public NYC taxi and for-hire vehicle (Uber, Lyft) trip data into a PostgreSQL or ClickHouse database
microsoft/code-with-engineering-playbook
This is the playbook for "code-with" customer or partner engagements
pythonlessons/TensorFlow-2.x-YOLOv3
YOLOv3 implementation in TensorFlow 2.3.1
microsoft/az-ml-realtime-score
Architecture for deploying real-time scoring of machine learning models using Azure Machine Learning
microsoft/MLHyperparameterTuning
Example of using HyperDrive to tune a regular ML learner.
anaconda/docker-images
Repository of Docker images created by Anaconda
brightmart/bert_language_understanding
Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN
mavitazk/mixed-reality
google-research/bert
TensorFlow code and pre-trained models for BERT
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
MicrosoftDocs/azure-docs
Open source documentation of Microsoft Azure
microsoft/TextWorld
TextWorld is a sandbox learning environment for the training and evaluation of reinforcement learning (RL) agents on text-based games.
jina-ai/clip-as-service
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
namisan/mt-dnn
Multi-Task Deep Neural Networks for Natural Language Understanding
py-why/EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
PacktPublishing/Advanced-Deep-Learning-with-Keras
Advanced Deep Learning with Keras, published by Packt
microsoft/AIReferenceArchitectures
Official Azure Reference Architectures for AI workloads
ageron/handson-ml
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
ageron/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
laiguokun/multivariate-time-series-data
marabout2015/codebase
Useful scripts
marabout2015/PeoplePlacesThings
Use AR headset to assist elderly or disabled. Recognize objects/people and provide verbal labels & speech to denote what it is. Also incorporate translations.
marabout2015/mmlspark
Microsoft Machine Learning for Apache Spark