TrungThanhTran's Stars
ByteByteGoHq/system-design-101
Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.
charlax/professional-programming
A collection of learning resources for curious software engineers
mlabonne/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
rasbt/LLMs-from-scratch
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
eriklindernoren/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.
academicpages/academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
m-bain/whisperX
WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)
lucidrains/DALLE2-pytorch
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
diff-usion/Awesome-Diffusion-Models
A collection of resources and papers on Diffusion Models
khangich/machine-learning-interview
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
NielsRogge/Transformers-Tutorials
This repository contains demos I made with the Transformers library by HuggingFace.
lucidrains/imagen-pytorch
Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch
utkuozbulak/pytorch-cnn-visualizations
Pytorch implementation of convolutional neural network visualization techniques
XavierXiao/Dreambooth-Stable-Diffusion
Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion
ahmedbahaaeldin/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.
nadermx/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.
probml/pyprobml
Python code for "Probabilistic Machine learning" book by Kevin Murphy
DefTruth/lite.ai.toolkit
🛠 A lite C++ toolkit of awesome AI models, support ONNXRuntime, MNN, TNN, NCNN and TensorRT.
google/prompt-to-prompt
louisfb01/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-mlss/awesome-mlss
🤖 Machine Learning Summer School deadlines
yu4u/age-gender-estimation
Keras implementation of a CNN network for age and gender estimation
AI-Yash/st-chat
Streamlit Component, for a Chatbot UI
rasbt/scipy2023-deeplearning
BlinkDL/Hua
Hua is an AI image editor with Stable Diffusion (and more).
jedyang97/awesome-cs-phd-application-advice
A curated list of awesome advice for computer science Ph.D. applicants.
gavinfish/leetcode-share
This repository shares my leetcode problems solving experience.
pixta-dev/labteam
labteam
naveenanair/DiscoverBeauty
Recommender for personalized makeup recommendations
TrungThanhTran/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).