lucas's repositories
Coursera-ML-AndrewNg
use numpy, scipy, and tensorflow to implement these basic ML model and learning algorithm
llama-recipes
Scripts for fine-tuning Llama2 with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization & question answering. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment.Demo apps to showcase Llama2 for WhatsApp & Messenger
mistral-src
Reference implementation of Mistral AI 7B v0.1 model.
moondream
tiny vision language model
nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
prismatic-vlms
A flexible and efficient codebase for training visually-conditioned language models (VLMs)
Tensor-Puzzles
Solve puzzles. Improve your pytorch.
tensor_puzzle
Practice tensor ops in first principle.
VILA
VILA - a multi-image visual language model with training, inference and evaluation recipe, deployable from cloud to edge (Jetson Orin and laptops)