1 repo
Awesome GitHub RepositoriesTraining Pipelines
Automated workflows for managing the end-to-end training and evaluation of neural networks.
Distinguishing note: Focuses on the pipeline automation and monitoring aspects of training rather than the framework itself.
Explore 1 awesome GitHub repository matching artificial intelligence & ml · Training Pipelines. Refine with filters or upvote what's useful.
Awesome Training Pipelines GitHub Repositories
Find the best repos with AI.We'll search the best matching repositories with AI.
- karpathy/nanochat
karpathy/nanochat
43,699View on GitHubNanochat is a lightweight execution environment designed for training and running language models on standard consumer hardware. It functions as both a neural network training framework and an inference engine, enabling users to perform backpropagation-based training and model execution directly on general-purpose processors without the need for dedicated graphics hardware. The project distinguishes itself through a suite of optimization tools that prioritize efficiency on local machines. By utilizing memory-mapped weight loading and CPU-optimized vector math, it maximizes throughput for inte
Facilitates rapid experimentation by preparing data and executing training loops for language models.
Python
