| plotly/dash |
19,976 |
|
804 |
639 |
about 2 years ago |
174 |
November 28, 2023 |
815 |
mit |
Python |
| Data Apps & Dashboards for Python. No JavaScript Required. |
| lauragift21/awesome-learning-resources |
5,001 |
|
0 |
0 |
over 2 years ago |
0 |
|
5 |
mit |
|
| 🔥 Awesome list of resources on Web Development. |
| tirthajyoti/Machine-Learning-with-Python |
2,712 |
|
0 |
0 |
almost 3 years ago |
0 |
|
8 |
bsd-2-clause |
Jupyter Notebook |
| Practice and tutorial-style notebooks covering wide variety of machine learning techniques |
| supabase-community/supabase-py |
1,246 |
|
0 |
45 |
about 2 years ago |
36 |
December 10, 2023 |
35 |
mit |
Python |
| Python Client for Supabase. Query Postgres from Flask, Django, FastAPI. Python user authentication, security policies, edge functions, file storage, and realtime data streaming. Good first issue. |
| karpathy/arxiv-sanity-lite |
707 |
|
0 |
0 |
about 3 years ago |
0 |
|
10 |
mit |
Python |
| arxiv-sanity lite: tag arxiv papers of interest get recommendations of similar papers in a nice UI using SVMs over tfidf feature vectors based on paper abstracts. |
| bansalkanav/Machine_Learning_and_Deep_Learning |
492 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
gpl-3.0 |
Jupyter Notebook |
| kaushikjadhav01/Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis |
460 |
|
0 |
0 |
about 2 years ago |
0 |
|
21 |
mit |
Python |
| Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall |
| machine-learning-apps/Issue-Label-Bot |
313 |
|
0 |
0 |
about 4 years ago |
0 |
|
2 |
mit |
SCSS |
| Code For The Issue Label Bot, an App that automatically labels issues using machine learning, available on the GitHub Marketplace. This is also code for the blog article: "How to automate tasks on GitHub with machine learning for fun and profit" |
| AlexIoannides/kubernetes-mlops |
284 |
|
0 |
0 |
over 3 years ago |
0 |
|
4 |
mit |
Python |
| MLOps tutorial using Python, Docker and Kubernetes. |
| GACWR/OpenUBA |
264 |
|
0 |
0 |
over 3 years ago |
0 |
|
23 |
gpl-3.0 |
Python |
| A robust, and flexible open source User & Entity Behavior Analytics (UEBA) framework used for Security Analytics. Developed with luv by Data Scientists & Security Analysts from the Cyber Security Industry. [PRE-ALPHA] |
