TolgaAktas
Applied Scientist @microsoft Self- Supervised Learning, LLMs Former: MSc in Imaging Science @RIT BSc in ECE @UofRochester
MicrosoftRochester
TolgaAktas's Stars
nachifur/RDDM
CVPR 2024: Residual Denoising Diffusion Models
soumith/torchtitan
A native PyTorch Library for large model training
pytorch/torchtune
A Native-PyTorch Library for LLM Fine-tuning
Azure-Samples/azureai-samples
Official community-driven Azure AI Examples
openai/openai-python
The official Python library for the OpenAI API
microsoft/unilm
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
rasbt/LLMs-from-scratch
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
dilarainal/shecodes-github-challenge
01-ai/Yi
A series of large language models trained from scratch by developers @01-ai
probml/pml2-book
Probabilistic Machine Learning: Advanced Topics
Sanster/IOPaint
Image inpainting tool powered by SOTA AI Model. Remove any unwanted object, defect, people from your pictures or erase and replace(powered by stable diffusion) any thing on your pictures.
ahmedbahaaeldin/From-0-to-Research-Scientist-resources-guide
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
Atcold/NYU-DLSP20
NYU Deep Learning Spring 2020
lucidrains/DALLE2-pytorch
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
dangkhoasdc/awesome-ai-residency
List of AI Residency Programs
EthicalML/awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
ChaofWang/Awesome-Super-Resolution
Collect super-resolution related papers, data, repositories
rasbt/deeplearning-models
A collection of various deep learning architectures, models, and tips
RayTracing/raytracing.github.io
Main Web Site (Online Books)
vsitzmann/awesome-implicit-representations
A curated list of resources on implicit neural representations.
microsoft/computervision-recipes
Best Practices, code samples, and documentation for Computer Vision.
awesome-NeRF/awesome-NeRF
A curated list of awesome neural radiance fields papers
udacity/sagemaker-deployment
Code and associated files for the deploying ML models within AWS SageMaker
mlfoundations/model-soups
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time
microsoft/DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
GuoLanqing/ShadowDiffusion
ShadowDiffusion (CVPR2023), Pytorch implementation
satellite-image-deep-learning/techniques
Techniques for deep learning with satellite & aerial imagery
microsoft/torchgeo
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
pytorch/vision
Datasets, Transforms and Models specific to Computer Vision
ashleve/lightning-hydra-template
PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡