Pinned Repositories
amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠Amazon SageMaker.
peft
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
FalconHeavyFeatEngg
Heart-Failure-Prediction-using-Ensemble-model
House_Price_Prediction
ML_PipeLine
minGPT
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
langchain
🦜🔗 Build context-aware reasoning applications
litgpt
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
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.