Coder Social home page Coder Social logo
Tugrul Konuk photo

ertkonuk Goto Github PK

followers: 8.0 following: 2.0 repos: 18.0 gists: 0.0

Name: Tugrul Konuk

Type: User

Company: NVIDIA

Bio: Deep learning at NVIDIA. I am an applied scientist with research interests in deep learning, large-scale numerical optimization, and high-performance computing.

Location: Houston, TX

Tugrul Konuk's Projects

clip icon clip

Contrastive Language-Image Pretraining

data-science-ipython-notebooks icon data-science-ipython-notebooks

Recently updated with 50 new notebooks! Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

gptq icon gptq

Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".

lddl icon lddl

Distributed preprocessing and data loading for language datasets

llava icon llava

Large Language-and-Vision Assistant built towards multimodal GPT-4 level capabilities.

megatron-lm icon megatron-lm

Ongoing research training transformer models at scale

multimodal icon multimodal

TorchMultimodal is a PyTorch library for training state-of-the-art multimodal multi-task models at scale.

nemo icon nemo

NeMo: a toolkit for conversational AI

peft icon peft

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

transformerengine icon transformerengine

A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper and Ada GPUs, to provide better performance with lower memory utilization in both training and inference.

transformers icon transformers

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

videomae icon videomae

[NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training

vllm icon vllm

A high-throughput and memory-efficient inference and serving engine for LLMs

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.