A docker-based starter kit for machine learning via jupyter notebooks. Designed for those who just want a runtime environment and get on with machine learning. Docker Hub:
GPU-enabled docker container with Jupyterlab for artificial intelligence
Jupyter Notebook/Lab, web-based interactive development environment
Notebooks containing examples for different DNN components
Setup guide for running WAN 2.1 Image-to-Video models on Google Colab with ComfyUI. Includes installation scripts, model download instructions, and configuration for Google Drive integration.
In this notebook, I employed built-in Keras Sequential model and pretrained ResNet50 model using Pytorch to perform segmentation of satellite images of water bodies.
This Repository provides a Jupyter Notebook for building a small language model from scratch using 'TinyStories' dataset. Covers data preprocessing, BPE tokenization, binary storage, GPU memory management, and training a Transformer in PyTorch. Generate sample stories to test your model. Ideal for learning NLP and PyTorch.
Run Jupyter notebooks on GPUs in Puzl cloud using Kubernetes
Google Colab Notebooks Collection
Jupyter notebooks, jobscripts and other files for the LUMI AI-Workshop
Notebook IDE aimed at scientific computing with LaTeX2Futhark transpiler integration, a built-in math editor, and pseudo-multi-language support.
these are my projects that i submitted for AIML course with great lakes & some good notebooks with great explaination of the topics
🚀 High-performance implementations and benchmarks of SSSP and APSP algorithms (Bellman–Ford, Dijkstra, Floyd–Warshall, Johnson) in Serial, OpenMP, CUDA, and Hybrid CPU+GPU. Includes profiling, speedup plots, and HPC notebooks
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