Canh Dinh's Projects
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
Config files for my GitHub profile.
:notebook:Solutions to Introduction to Algorithms
A complete computer science study plan to become a software engineer.
Solutions for the book: Cracking the coding interview V4. Written in C++.
Cracking the Coding Interview 6th Ed. C++ Solutions
This repository contains implementations and illustrative code to accompany DeepMind publications
Federated Learning using PyTorch. Second-Order for Federated Learning. (IEEE Transactions on Parallel and Distributed Systems 2022)
Source code in ebook Machine Learning
The code in order to implement FedProx (ICPP 2020)
FEDL-Federated Learning algorithm using TensorFlow (Transaction on Networking 2021)
This repository implements FEDL using pytorch
This repo implements FedU, a multitask learning framework for federated learning
Scripts for fine-tuning Meta Llama3 with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment. Demo apps to showcase Meta Llama3 for WhatsApp & Messenger.
A complete daily plan for studying to become a machine learning engineer.
All the ML algorithms, ML models are coded from scratch by pure Python/Numpy with the Math under the hood. It works well on CPU.
Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.