Muhtasham Oblokulov (Muhtasham)

Muhtasham

Geek Repo

Company:TU Munich

Location:Munich

Home Page:muhtasham.github.io/blog/

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Muhtasham Oblokulov's repositories

summarization-eval

๐Ÿ“ Reference-Free automatic summarization evaluation with potential hallucination detection

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pod-helper

๐ŸŽง Pod-Helper: Real-time audio transcription and repair on consumer hardware

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mlx-examples

Examples in the MLX framework

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azure-docs

Open source documentation of Microsoft Azure

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BLoRA

batched loras

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dstack

Open-source toolkit for training, fine-tuning, and deploying generative AI models on multiple clouds. https://discord.gg/u8SmfwPpMd

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fal-js

The JavaScript client and utilities to fal-serverless with built-in TypeScript definitions

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fsi-mrm-generation

Automated generation of MRM documentation

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instructor

openai function calls for humans

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llama_index

LlamaIndex (formerly GPT Index) is a data framework for your LLM applications

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mlc-llm

Enable everyone to develop, optimize and deploy AI models natively on everyone's devices.

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mlflow-reports

MLflow reports

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olm-training

Repo for training MLMs, CLMs, or T5-type models on the OLM pretraining data, but it should work with any hugging face text dataset.

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Open-Assistant

OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

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open-llms

A list of open LLMs available for commercial use

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optimum

๐ŸŽ๏ธ Accelerate training and inference of ๐Ÿค— Transformers with easy to use hardware optimization tools

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peft

๐Ÿค— PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

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S-LoRA

S-LoRA: Serving Thousands of Concurrent LoRA Adapters

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santacoder-finetuning

Fine-tune SantaCoder for Code/Text Generation.

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starcoder2

Home of StarCoder2!

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streamlit-agent

Reference implementations of several LangChain agents as Streamlit apps

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tajik-nlp

Collection of NLP projects in Tajik Language

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TensorRT-LLM

TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.

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the-algorithm

Source code for Twitter's Recommendation Algorithm

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the-algorithm-ml

Source code for Twitter's Recommendation Algorithm

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triton

Development repository for the Triton language and compiler

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website

Source for https://fullstackdeeplearning.com

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