A repository of material for the exercise classes of a Big Data Analytics master course. Hands-on sessions cover Spark and its machine learning library, Map/Reduce implementations of linear regression and alternating least squares, streaming analytics with Recursive Least Squares, and image classification with convolutional neural networks. Material is provided as Jupyter notebooks.
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github.com
A Repository Containing Classification, Clustering, Regression, Recommender Notebooks with illustration to make them.
github.com
MubertAI/Mubert-Text-to-Music is a GitHub repository maintained by MubertAI. It hosts a simple notebook that demonstrates prompt-based music generation via the Mubert API, providing a reference implementation for users looking to generate music from text prompts using the service.
github.com
A notebook project that implements llama3 from scratch, one tensor and matrix multiplication at a time. It loads tensors directly from the model file Meta provided for llama3, and the weights must be downloaded before running the file. The author does not implement a BPE tokenizer and instead uses tiktoken.
nbshare.io
nbshare.io is a platform for learning data analytics using Python and R. It hosts a collection of notebooks covering topics including artificial intelligence, machine learning, basic Python coding, data analytics, web scraping and other related technical subjects.
github.com
IPython notebooks for a complete course around understanding Nervana's Neon.
github.com
NeuPy is a Python library built on Tensorflow for prototyping and building neural networks. The repository notes that the library is no longer actively maintained. It includes examples and notebooks covering algorithms such as Boltzmann machines and self-organizing maps.
huggingface.co
Nexusflow/NexusRaven-V2-13B is a 13-billion parameter language model available on Hugging Face. It is designed for zero-shot function calling and text generation, aiming to advance open-source artificial intelligence. The model can be used with libraries such as Transformers and provides instructions for deployment via inference providers, notebooks, and local applications.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
notespace is an open source project hosted as a public repository on GitHub under the scicloj/notespace project. It is designed to enable users to use their namespace as a notebook. The project invites contributions from developers.
github.com
An archived, read-only GitHub repository holding an open solution to the Google AI Open Images Object Detection Track. It offers starter code, configs and notebooks, with RetinaNet training and references to the Neptune experiment platform; Neptune use is optional and the code can run as a plain Python script. The README notes the competition used Open Images Dataset V4.
github.com
An archived, read-only GitHub repository holding an open solution to the Home Credit Default Risk challenge. It provides code, configs and notebooks plus documented solutions using LightGBM, sklearn and XGBoost with engineered features; the README lists cross-validation and leaderboard scores for each. References to Neptune are optional and the solution can run as a plain Python script.
paperspace.com
Paperspace is a cloud GPU platform now owned by DigitalOcean. It provides access to NVIDIA H100 GPUs for AI and machine learning workloads, rendering, 3D graphics, simulations and cloud gaming. Users can develop, train and deploy AI applications on the platform, which is used by over 500,000 builders. Its product offerings include Gradient for AI model development, hosted notebooks, cloud desktops and deployment tools, with solutions tailored for machine learning, enterprise virtual desktops, gaming and rendering use cases.
github.com
pixray is an image generation system combining perception engines, CLIP-guided GAN imagery and CLIPDraw. It is a Python library and command line utility that can also run in Google Colab notebooks or inside Docker using Cog. Installation requires a recursive git clone and a fresh Python 3.8 environment.
github.com
Creates or edits images with generative models and visual controls.
github.com
Ploomber is a tool for building data pipelines. It offers a YAML API and a Python API, and its features include caching previous pipeline results and running on Kubernetes, Airflow, AWS Batch or SLURM. It can convert monolithic notebooks into modular pipelines. The repository was archived on Jul 12, 2025 and is read-only.
polynote.org
The polyglot notebook with first-class Scala support.
runcell.dev
Runcell is an AI agent for Jupyter notebooks that automates writing and executing Python code, debugging, and explaining data analysis results. It operates within the notebook environment, inspecting context and planning multi-step workflows autonomously.
github.com
segment-anything (SAM) is an open-source GitHub repository from Meta's Facebook Research team for the Segment Anything Model. It provides code for running model inference, links to download trained model checkpoints, and example notebooks demonstrating model usage, with support for segmenting objects in images and videos via SAM 2.
github.com
Shap-E is OpenAI's official code and model release for generating conditional 3D implicit functions. It generates 3D objects conditioned on text or images, with example notebooks for text-to-3D and image-to-3D sampling. It is released under the MIT license and installs with pip.
github.com
Soorgeon is a tool that converts monolithic Jupyter notebooks into Ploomber pipelines. It is compatible with Python 3.7 and higher and installs via pip. The repository was archived by its owner on Feb 18, 2025, and is now read-only. The project describes itself as being in alpha.
huggingface.co
Stable Beluga 1 is a text generation model developed by Stability AI, released under a CC-BY-NC-4.0 license. It can be used with libraries such as Transformers, via inference providers, in notebooks, or in local applications.
huggingface.co
Stable Beluga 2 is a text generation model developed by Stability AI. It can be used with libraries such as Transformers, via inference providers, in notebooks, or in local applications.
github.com
Stable Dreamfusion is a software project that supports text-to-3D and image-to-3D generation, as well as mesh exportation, using NeRF and diffusion model technology. Its public repository includes update logs and links to Colab notebooks for user access.