goyalpramod / Foundational-ML-papersLinks
Implementations of Papers that I read, you can read my breakdown in my blog
☆89Updated last month
Alternatives and similar repositories for Foundational-ML-papers
Users that are interested in Foundational-ML-papers are comparing it to the libraries listed below
Sorting:
- This repo has all the basic things you'll need in-order to understand complete vision transformer architecture and its various implementa…☆228Updated 11 months ago
- A repository consisting of paper/architecture replications of classic/SOTA AI/ML papers in pytorch☆395Updated last month
- small auto-grad engine inspired from Karpathy's micrograd and PyTorch☆277Updated last year
- ☆89Updated 8 months ago
- Repository of implementations of classic and sota rl algorithms from scratch in PyTorch☆214Updated this week
- NUS CS5242 Neural Networks and Deep Learning, Xavier Bresson, 2025☆403Updated 8 months ago
- a simple CLI command that will create a template of a generic ML Project☆81Updated 2 weeks ago
- "LLM from Zero to Hero: An End-to-End Large Language Model Journey from Data to Application!"☆141Updated last month
- A practical guide to diffusion models, implemented from scratch.☆196Updated last week
- 📓 A collection of generative AI open-source repositories that are actively being developed. If you are looking to build a solid profile …☆85Updated 2 months ago
- Transformers from scratch using PyTorch & NumPy.☆47Updated 10 months ago
- ☆46Updated 8 months ago
- ☆503Updated last month
- Deep Learning for Computer Vision☆60Updated last year
- Learnings and programs related to CUDA☆428Updated 5 months ago
- RAGs: Simple implementations of Retrieval Augmented Generation (RAG) Systems☆141Updated 11 months ago
- Low memory full parameter finetuning of LLMs☆53Updated 5 months ago
- GPU Kernels☆210Updated 7 months ago
- Following Karpathy with GPT-2 implementation and training, writing lots of comments cause I have memory of a goldfish☆172Updated last year
- ☆113Updated last week
- A blog on various ML topics, and my thoughts.☆25Updated last week
- Here's all my Python/Numba (CUDA) code for the encoder block I made :)☆68Updated 7 months ago
- Question paper of courses taught at IISC as part of MTech AI curriculum☆105Updated last year
- Jupyter Notebook notes on Andrej Karpathy's videos and the tutorial series, "Neural Networks: Zero to Hero."☆198Updated last week
- learningggggggg 🐳☆557Updated 8 months ago
- Assignments of courses taught at IISC as part of MTech AI curriculum☆140Updated 10 months ago
- in this repository, i'm going to implement increasingly complex llm inference optimizations☆75Updated 6 months ago
- ☆42Updated 11 months ago
- ☆404Updated 8 months ago
- ☆45Updated 7 months ago