YanSte

YanSte's Stars

• langchain-ai/streamlit-agent

  Reference implementations of several LangChain agents as Streamlit apps

  Language:Python1.3k667

• Binaryify/OneDark-Pro

  Atom's iconic One Dark theme for Visual Studio Code

  Language:TypeScript1.6k290

• dair-ai/Prompt-Engineering-Guide

  🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

  Language:MDX51.9k5k

• DanielWarfield1/MLWritingAndResearch

  Notebook Examples used in machine learning writing and research

  Language:Jupyter Notebook5512

• ollama/ollama

  Get up and running with Llama 3.3, Mistral, Gemma 2, and other large language models.

  Language:Go106k8.5k

• openlm-research/open_llama

  OpenLLaMA, a permissively licensed open source reproduction of Meta AI’s LLaMA 7B trained on the RedPajama dataset

  7.4k382

• ChandraLingam/DataLake

  This course will provide an in-depth understanding of the key elements of a Data Lake Architecture, including strategies for managing changes and evolving schemas. You will also learn to use SQL to query files directly

  Language:Jupyter Notebook79

• 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 Notebook15.8k2.3k

• YanSte/deep-learning-pytorch-huggingface

  1

• YanSte/NLP-LLM-Fine-tuning-QA-LoRA-T5

  Natural Language Processing (NLP) and Large Language Models (LLM) with Fine-Tuning LLM and make Chatbot Question answering (QA) with LoRA and Flan-T5 Large

  Language:Jupyter Notebook8

• YanSte/simple-rag

  1

• YanSte/NLP-LLM-Fine-tuning-Llame-2-QLoRA-2024

  Natural Language Processing (NLP) and Large Language Models (LLM) with Fine-Tuning LLM QLoRA and Llama 2 in 2024

  Language:Jupyter Notebook74

• lamini-ai/lamini-examples

  Language:Jupyter Notebook15627

• lamini-ai/simple-rag

  Language:Python16336

• lamini-ai/prompt-engineering-open-llms

  Language:Python17231

• Dao-AILab/flash-attention

  Fast and memory-efficient exact attention

  Language:Python14.9k1.4k

• ashishpatel26/LLM-Finetuning

  LLM Finetuning with peft

  Language:Jupyter Notebook2.3k622

• xding2/Hands-On-NLP-Model

  Fine Tuning Model for different NLP task

  Language:Jupyter Notebook145

• meta-llama/llama

  Inference code for Llama models

  Language:Python57.1k9.6k

• Instruction-Tuning-with-GPT-4/GPT-4-LLM

  Instruction Tuning with GPT-4

  Language:HTML4.3k301

• Abonia1/LLM-finetuning

  This repository provides code and resources for Parameter Efficient Fine-Tuning (PEFT), a technique for improving fine-tuning efficiency in natural language processing tasks.

  Language:Jupyter Notebook154

• ovh/ai-training-examples

  Language:Jupyter Notebook14577

• philschmid/deep-learning-pytorch-huggingface

  Language:Jupyter Notebook748176

• imoneoi/openchat-ui

  An open source UI for OpenChat models

  Language:TypeScript26255

• imoneoi/openchat

  OpenChat: Advancing Open-source Language Models with Imperfect Data

  Language:Python5.3k401

• brevdev/notebooks

  Collection of notebook guides created by the Brev.dev team!

  Language:Jupyter Notebook1.7k293

• Ki6an/fastT5

  ⚡ boost inference speed of T5 models by 5x & reduce the model size by 3x.

  Language:Python57273

• YanSte/NLP-PEFT-LoRA-DialogSum-Dialogue-Summarize

  Exploration of Large Language Model (LLM) and its capabilities, specifically dialogue summarization abilities. It highlights the use of a comprehensive fine-tuning approach called Efficient Fine-Tuning (PEFT)

  Language:Jupyter Notebook1

• YanSte/YanSte

  Me 🙂

  1

• YanSte/NLP-PPO-DialogSum-Less-Toxic-Summarize

  NLP (Natural Language Processing) with PEFT (Parameter Efficient Fine-Tuning) and LoRA (Low-Rank Adaptation) for Less-Toxic Summarization

  Language:Jupyter Notebook1