TrungThanhTran's starred repositories
professional-programming
A collection of learning resources for curious software engineers
LLMs-from-scratch
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
age-gender-estimation
Keras implementation of a CNN network for age and gender estimation
system-design-101
Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.
DiscoverBeauty
Recommender for personalized makeup recommendations
lite.ai.toolkit
đź› A lite C++ toolkit of awesome AI models, support ONNXRuntime, MNN, TNN, NCNN and TensorRT.
From-0-to-Research-Scientist-resources-guide
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
awesome-mlss
🤖 Machine Learning Summer School deadlines
imagen-pytorch
Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch
backgroundremover
Background Remover lets you Remove Background from images and video using AI with a simple command line interface that is free and open source.
Dreambooth-Stable-Diffusion
Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion
Awesome-Diffusion-Models
A collection of resources and papers on Diffusion Models
Transformers-Tutorials
This repository contains demos I made with the Transformers library by HuggingFace.
leetcode-share
This repository shares my leetcode problems solving experience.
academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
DALLE2-pytorch
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
machine-learning-interview
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
best_AI_papers_2021
A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.
awesome-cs-phd-application-advice
A curated list of awesome advice for computer science Ph.D. applicants.
mathematical-methods-in-deep-learning-ipython
Python code (in the form of Jupyter ipython notebooks) to support the book "Math and Architectures of Deep Learning" (Krishnendu Chaudhury with Ananya Ashok, Sujay Narumanchi, Devashish Shankar).
pytorch-cnn-visualizations
Pytorch implementation of convolutional neural network visualization techniques
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.