AsafShul

AsafShul's Stars

• jonkahana/ProbeGen

  An official implementation of ProbeGen

  Language:Python8

• eliahuhorwitz/MoTHer

  Official PyTorch Implementation for the "Model Tree Heritage Recovery" paper.

  Language:Python551

• meta-llama/llama3

  The official Meta Llama 3 GitHub site

  Language:Python27.9k3.2k

• AsafShul/PoDD

  Official PyTorch Implementation for the "Distilling Datasets Into Less Than One Image" paper.

  Language:Python362

• eliahuhorwitz/Spectral-DeTuning

  Official PyTorch Implementation for the "Recovering the Pre-Fine-Tuning Weights of Generative Models" paper (ICML 2024).

  Language:Python752

• GeorgeCazenavette/glad

  Language:Python10913

• AsafShul/Predict_Market_Change_From_Reddit

  Language:Jupyter Notebook1

• AsafShul/diffusion_model_and_minGPT_analysis

  An implementation of a basic diffusion model with some insights and testing the minGPT model

  Language:Jupyter Notebook1

• AsafShul/VICReg_selfsupervised_representation_learning

  An implementation of the VICReg model and some insights

  Language:Python1

• karpathy/minGPT

  A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

  Language:Python20.8k2.7k

• Alro10/deep-learning-time-series

  List of papers, code and experiments using deep learning for time series forecasting

  Language:Jupyter Notebook2.6k529

• unit8co/darts

  A python library for user-friendly forecasting and anomaly detection on time series.

  Language:Python8.2k898

• awslabs/gluonts

  Probabilistic time series modeling in Python

  Language:Python4.7k763

• AsafShul/auto_language_switcher_MacOS

  script for automatically changing the keyboard input language based on the specific app preferences

  Language:Python141

• nettashafir/fire_classification

  A classifier of fire types. Trained on the dataset "1.88 Million US Wildfires" from Kaggle

  Language:Jupyter Notebook31

• NitzanBarzilay/PickUsLunch

  AI assistant that helps groups of friends or co-workers find a restaurant to order from together, that best matches the group members' dining preferences.

  Language:Python5

• AsafShul/Hacathon_IML_2022

  Hackathon of course IML-67577 huji, mission Waze - predicting user reports using timeseries data from Waze

  Language:HTML23