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halilergul1
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🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
The official gpt4free repository | various collection of powerful language models
A Gradio web UI for Large Language Models.
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
The simplest, fastest repository for training/finetuning medium-sized GPTs.
LlamaIndex is a data framework for your LLM applications
Streamlit — A faster way to build and share data apps.
PyTorch Tutorial for Deep Learning Researchers
Code and documentation to train Stanford's Alpaca models, and generate the data.
Easily train a good VC model with voice data <= 10 mins!
Universal LLM Deployment Engine with ML Compilation
Finetune Llama 3.1, Mistral, Phi & Gemma LLMs 2-5x faster with 80% less memory
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
Custom Selenium Chromedriver | Zero-Config | Passes ALL bot mitigation systems (like Distil / Imperva/ Datadadome / CloudFlare IUAM)
Running large language models on a single GPU for throughput-oriented scenarios.
Large Language Model Text Generation Inference
A collection of libraries to optimise AI model performances
Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.
A next-generation curated knowledge sharing platform for data scientists and other technical professions.
H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://docs.h2o.ai/h2o-llmstudio/
Implementation of AudioLM, a SOTA Language Modeling Approach to Audio Generation out of Google Research, in Pytorch
AI code-writing assistant that understands data content
A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.
set prompt to divided region
Implementation of SoundStorm, Efficient Parallel Audio Generation from Google Deepmind, in Pytorch