raghukiran1224

raghukiran1224's Stars

• linkedin/Liger-Kernel

  Efficient Triton Kernels for LLM Training

  Language:Python3.1k158

• IBM/data-prep-kit

  Open source project for data preparation of LLM application builders

  Language:Python153109

• pytorch/torchtitan

  A native PyTorch Library for large model training

  Language:Python2.2k164

• meta-llama/llama3

  The official Meta Llama 3 GitHub site

  Language:Python26.4k3k

• foundation-model-stack/fms-extras

  Language:Python197

• pytorch-labs/applied-ai

  Applied AI experiments and examples for PyTorch

  Language:Python13412

• foundation-model-stack/fms-hf-tuning

  🚀 Collection of tuning recipes with HuggingFace SFTTrainer and PyTorch FSDP.

  Language:Python2241

• stas00/ml-engineering

  Machine Learning Engineering Open Book

  Language:Python11.1k663

• NASA-IMPACT/hls-foundation-os

  This repository contains examples of fine-tuning Harmonized Landsat and Sentinel-2 (HLS) Prithvi foundation model.

  Language:Jupyter Notebook30478

• huggingface/transformers

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  Language:Python133k26.4k

• pytorch-labs/gpt-fast

  Simple and efficient pytorch-native transformer text generation in <1000 LOC of python.

  Language:Python5.6k504

• pytorch/pytorch

  Tensors and Dynamic neural networks in Python with strong GPU acceleration

  Language:Python82.5k22.2k

• foundation-model-stack/fms-fsdp

  🚀 Efficiently (pre)training foundation models with native PyTorch features, including FSDP for training and SDPA implementation of Flash attention v2.

  Language:Python16027

• foundation-model-stack/foundation-model-stack

  🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.

  Language:Python15247

• meta-llama/llama-recipes

  Scripts for fine-tuning Meta Llama 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 Llama for WhatsApp & Messenger.

  Language:Jupyter Notebook11.9k1.7k

• project-codeflare/zero-copy-model-loading

  In-depth code associated with my Medium blog post, "How to Load PyTorch Models 340 Times Faster with Ray"

  Language:Jupyter Notebook251

• project-codeflare/codeflare-transfer-learning

  Language:Python232

• ray-project/contrib-workflow-dag

  Language:Python11

• ray-project/ray

  Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

  Language:Python33.2k5.6k

• IBM-Cloud/sql-query-clients

  Client samples for IBM Cloud SQL Query service

  Language:Jupyter Notebook1224

• project-codeflare/codeflare

  Simplifying the definition and execution, scaling and deployment of pipelines on the cloud.

  Language:Jupyter Notebook21935

• IBM/codeflare

  Scaling complex AI/ML pipelines anywhere

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