Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality. Learn more →
Top 23 Jupyter Notebook ML Projects
-
InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
-
dopamine
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
-
SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
-
azureml-examples
Official community-driven Azure Machine Learning examples, tested with GitHub Actions.
-
vertex-ai-samples
Sample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud
-
imodels
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
-
Reactors
🌱 Join a community of developers at Microsoft Reactor and connect with people, skills, and technology to build your career or personal learning. We offer free livestreams, on-demand content, and hybrid/in-person events daily around the world. Access our projects and code here.
-
serverless-ml-course
Serverless Machine Learning Course for building AI-enabled Prediction Services from models and features
-
cleora
Cleora AI is a general-purpose model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data.
-
mlops-python-package
Kickstart your MLOps initiative with a flexible, robust, and productive Python package.
-
S2ML-Generators
Multiple notebooks which allow the use of various machine learning methods to generate or modify multimedia content
-
vision-camera-realtime-object-detection
VisionCamera Frame Processor Plugin to detect objects using TensorFlow Lite Task Vision
-
examples
📝 Examples of how to use Neptune for different use cases and with various MLOps tools (by neptune-ai)
-
augmented-interpretable-models
Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.
-
Projects-Archive
This hacktober fest, the only stop you’ll need to make for ML, Web Dev and App Dev - see you there!
-
SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
Project mention: The Era of 1-bit LLMs: ternary parameters for cost-effective computing | news.ycombinator.com | 2024-02-28https://github.com/Stability-AI/StableLM?tab=readme-ov-file#...
Project mention: Gemini 1.5 outshines GPT-4-Turbo-128K on long code prompts, HVM author | news.ycombinator.com | 2024-02-18
I always use TDD when I work on serious AI/ML projects. Even if this practice is time-consuming in the short term, it's time efficient in the long run. I prefer to catch bugs as early as possible in my workflow. I recently worked on a MLOps Python package that provides examples to implement best practices like TDD, code coverage and more: https://github.com/fmind/mlops-python-package
Project mention: Show HN: MLtraq – Track and Collaborate on AI Experiments (Open-Source) | news.ycombinator.com | 2024-02-06- Source code: https://github.com/elehcimd/mltraq
Thoughts? Looking forward to your feedback. I hope you enjoy it! Thank You!
Jupyter Notebook ML related posts
-
Stable LM 3B: Bringing Sustainable, High-Performance LMs to Smart Devices
-
How to Fine-Tune Foundation Models to Auto-Label Training Data
-
Where to start
-
FreeWilly 1 and 2, two new open-access LLMs
-
YouTube channel on AI, ML, NLP and Computer Vision
-
Help regarding DS career choices
-
Losing the plot
-
A note from our sponsor - InfluxDB
www.influxdata.com | 7 May 2024
Index
What are some of the best open-source ML projects in Jupyter Notebook? This list will help you:
Project | Stars | |
---|---|---|
1 | handson-ml | 25,094 |
2 | StableLM | 15,852 |
3 | dopamine | 10,375 |
4 | pycaret | 8,428 |
5 | nlpaug | 4,252 |
6 | Andrew-NG-Notes | 2,248 |
7 | featureform | 1,693 |
8 | azureml-examples | 1,573 |
9 | vertex-ai-samples | 1,358 |
10 | imodels | 1,293 |
11 | Reactors | 507 |
12 | serverless-ml-course | 485 |
13 | cleora | 474 |
14 | mlops-python-package | 351 |
15 | S2ML-Generators | 178 |
16 | gan-vae-pretrained-pytorch | 162 |
17 | vision-camera-realtime-object-detection | 92 |
18 | examples | 66 |
19 | ltt | 58 |
20 | augmented-interpretable-models | 37 |
21 | mltraq | 33 |
22 | creative-prediction | 23 |
23 | Projects-Archive | 21 |
Sponsored