SwekeR-463 / Papers-ImplementedLinks
repo of paper implementations
☆20Updated 9 months ago
Alternatives and similar repositories for Papers-Implemented
Users that are interested in Papers-Implemented are comparing it to the libraries listed below
Sorting:
- A repository consisting of paper/architecture replications of classic/SOTA AI/ML papers in pytorch☆392Updated 3 weeks ago
- Repository of implementations of classic and sota rl algorithms from scratch in PyTorch☆213Updated 3 weeks ago
- "LLM from Zero to Hero: An End-to-End Large Language Model Journey from Data to Application!"☆141Updated 2 weeks ago
- GPU Kernels☆209Updated 7 months ago
- 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
- Question paper of courses taught at IISC as part of MTech AI curriculum☆105Updated last year
- ☆89Updated 8 months ago
- Basically a repo containing architectures/algorithms/papers from scratch in pytorch☆30Updated last month
- Assignments of courses taught at IISC as part of MTech AI curriculum☆140Updated 9 months ago
- learningggggggg 🐳☆557Updated 8 months ago
- ☆398Updated 7 months ago
- a simple CLI command that will create a template of a generic ML Project☆80Updated last year
- Learnings and programs related to CUDA☆428Updated 5 months ago
- just me trying to implement deep learning concepts in code☆201Updated 3 weeks ago
- ☆100Updated last month
- small auto-grad engine inspired from Karpathy's micrograd and PyTorch☆277Updated last year
- 100 days of building GPU kernels!☆544Updated 7 months ago
- A category wise collection of 200+ LLM survey papers.☆237Updated 8 months ago
- everything i know about cuda and triton☆13Updated 10 months ago
- Transformers from scratch using PyTorch & NumPy.☆46Updated 10 months ago
- Hands-on tutorials on fine-tuning various LLMs using different fine-tuning techniques☆351Updated 5 months ago
- This is a small autograd engine, made purely from numpy and python.☆27Updated last year
- ☆59Updated 2 months ago
- ☆47Updated last month
- ☆558Updated 3 weeks ago
- PyTorch implementations of algorithms from "Reinforcement Learning: An Introduction by Sutton and Barto", along with various RL research …☆207Updated 3 months ago
- A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.☆438Updated 8 months ago
- This repository contains an exhaustive coverage of a hands on approach to PyTorch along side powerful tools to accelerate model tuning an…☆196Updated last month
- An independent AI research program created by Harshit.☆96Updated last year
- Resources needed to start deep learning research. ML/DL/CV/NLP/ML-SYS/RL/Graphs/Maths/Med image lecture videos from professors at esteeme…☆90Updated last week