Harrison Ho's starred repositories
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.
clip-retrieval
Easily compute clip embeddings and build a clip retrieval system with them
annotated_deep_learning_paper_implementations
🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes đź“ť; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... đź§
model-soups
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
ML-YouTube-Courses
đź“ş Discover the latest machine learning / AI courses on YouTube.
mml-book.github.io
Companion webpage to the book "Mathematics For Machine Learning"
easy-few-shot-learning
Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.
coccoc-tokenizer
high performance tokenizer for Vietnamese language
recommenders-addons
Additional utils and helpers to extend TensorFlow when build recommendation systems, contributed and maintained by SIG Recommenders.
deep-text-recognition-benchmark
Text recognition (optical character recognition) with deep learning methods, ICCV 2019
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.
the-algorithm-ml
Source code for Twitter's Recommendation Algorithm
the-algorithm
Source code for Twitter's Recommendation Algorithm
Real-ESRGAN
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.