Nguyen Bao Tin's starred repositories
Awesome-LLM
Awesome-LLM: a curated list of Large Language Model
top-cvpr-2024-papers
This repository is a curated collection of the most exciting and influential CVPR 2024 papers. 🔥 [Paper + Code + Demo]
Guide-NVIDIA-Tools
NVIDIA tools guide
llama3-from-scratch
llama3 implementation one matrix multiplication at a time
annotated_deep_learning_paper_implementations
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Semantic-Segmentation-Loss-Functions
This Repository is implementation of majority of Semantic Segmentation Loss Functions
Robotic-Language-Grasping
Source code of "TransGRNet: Generative Residual Convolutional Neural Network with Transformer for Language-Driven Grasping"
tech-interview-handbook
💯 Curated coding interview preparation materials for busy software engineers
AAAI-2024-Papers
AAAI 2024 Papers: Explore a comprehensive collection of innovative research papers presented at one of the premier artificial intelligence conferences. Seamlessly integrate code implementations for better understanding. ⭐ experience the forefront of progress in artificial intelligence with this repository!
ml-interview-questions-and-answers
This repo contains my solutions to “Introduction to Machine Learning Interviews” by Chip Huyen.
machine-learning-interview-questions
This repository is to prepare for Machine Learning interviews.
system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
hpc-vnmese-documentation
Hướng dẫn này đã được chuẩn bị để giúp mọi người sử dụng hệ thống HPC một cách hiệu quả
nlp_course
YSDA course in Natural Language Processing
ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
generative-ai-for-beginners
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/