AayushSameerShah / Neural-Net-Zero-to-Hero-with-AndrejLinks
This repository contains the collection of explorative notebooks pure in python and in the language that we, humans can read. Have tried to compile all lectures from the Andrej Karpathy's π playlist on Neural Networks - which we will end up with building GPT.
β123Updated last year
Alternatives and similar repositories for Neural-Net-Zero-to-Hero-with-Andrej
Users that are interested in Neural-Net-Zero-to-Hero-with-Andrej are comparing it to the libraries listed below
Sorting:
- Jupyter Notebook notes on Andrej Karpathy's videos and the tutorial series, "Neural Networks: Zero to Hero."β201Updated this week
- β127Updated 11 months ago
- Tutorial Materials for "The Fundamentals of Modern Deep Learning with PyTorch" workshop at PyCon 2024β247Updated last year
- Starter pack for NeurIPS LLM Efficiency Challenge 2023.β129Updated 2 years ago
- Llama from scratch, or How to implement a paper without cryingβ583Updated last year
- LLM (Large Language Model) FineTuningβ566Updated 9 months ago
- β218Updated last year
- Code Transformer neural network components piece by pieceβ371Updated 2 years ago
- Notes about "Attention is all you need" video (https://www.youtube.com/watch?v=bCz4OMemCcA)β332Updated 2 years ago
- Just some stuff for Interview questions, books, annotated paper, notes, cheat sheets etc etc related to ML,AI, Deep Learning and Data Scβ¦β123Updated 4 months ago
- All the projects related to Llamaβ381Updated 9 months ago
- β132Updated 2 years ago
- Deep Learning Fundamentals -- Code material and exercisesβ398Updated last year
- ghimiresunil / LLM-PowerHouse-A-Curated-Guide-for-Large-Language-Models-with-Custom-Training-and-InferencingLLM-PowerHouse: Unleash LLMs' potential through curated tutorials, best practices, and ready-to-use code for custom training and inferencβ¦β716Updated 2 months ago
- Code files for advanced LLM Courseβ215Updated last year
- This repository contains everything you need to become proficient in ML/AI Research and Research Papersβ599Updated last year
- Notes from the Latent Space paper club. Follow along or start your own!β243Updated last year
- Collection of notebook guides created by the Brev.dev team!β1,808Updated last week
- AI algorithmsβ143Updated last year
- Educational materials on deep learning by Weights & Biasesβ652Updated last year
- A deep dive into embeddings starting from fundamentalsβ1,059Updated 2 weeks ago
- Resources relating to the DLAI event: https://www.youtube.com/watch?v=eTieetk2dSwβ189Updated 2 years ago
- Visualizing some of the internals of a neural network during training and inference.β75Updated last year
- β65Updated last year
- Deep learning for dummies. All the practical details and useful utilities that go into working with real models.β829Updated 5 months ago
- small auto-grad engine inspired from Karpathy's micrograd and PyTorchβ276Updated last year
- A 4-hour coding workshop to understand how LLMs are implemented and usedβ1,062Updated last year
- A set of scripts and notebooks on LLM finetunning and dataset creationβ114Updated last year
- Go from no deep learning knowledge to implementing GPT.β1,282Updated last year
- LLM papers I'm reading, mostly on inference and model compressionβ750Updated 2 years ago