CharlieDinh

pFedMe

Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)

FEDL

FEDL-Federated Learning algorithm using TensorFlow (Transaction on Networking 2021)

FEDL_pytorch

This repository implements FEDL using pytorch

FederatedLearningWithSVRG

The code in order to implement FedProx (ICPP 2020)

FedU_FMTL

This repo implements FedU, a multitask learning framework for federated learning

DONE

Federated Learning using PyTorch. Second-Order for Federated Learning. (IEEE Transactions on Parallel and Distributed Systems 2022)

CLRS

:notebook:Solutions to Introduction to Algorithms

coding-interview-university

A complete computer science study plan to become a software engineer.

cracking-the-coding-interview

Solutions for the book: Cracking the coding interview V4. Written in C++.

CtCI-6th-Edition-cpp

Cracking the Coding Interview 6th Ed. C++ Solutions

ebookML_src

Source code in ebook Machine Learning

machine-learning-for-software-engineers

A complete daily plan for studying to become a machine learning engineer.

ml-from-scratch

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.

awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

CharlieDinh

Config files for my GitHub profile.

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

llama-recipes

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.

system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

title_generation_results