Skip to content
View VictorProkhorov's full-sized avatar
:octocat:
:octocat:

Highlights

  • Pro

Block or report VictorProkhorov

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Showing results

[TMLR] A curated list of language modeling researches for code (and other software engineering activities), plus related datasets.

2,140 135 Updated Feb 24, 2025

"I do not know what I may appear to the world, but to myself I seem to have been only like a boy playing on the sea-shore, and diverting myself in now and then finding a smoother pebble or a pretti…

2 Updated Aug 31, 2020

A list of papers and resources dedicated to code generation

18 1 Updated Nov 2, 2022

A curated list of papers related to program synthesis, program induction, program execution, program and code repair, and programmatic reinforcement learning.

159 17 Updated Oct 6, 2021

👨‍💻 An awesome and curated list of best code-LLM for research.

1,140 64 Updated Dec 10, 2024

Must-read Papers on LLM Agents.

2,140 121 Updated Feb 19, 2025

This repository collects all relevant resources about interpretability in LLMs

321 20 Updated Nov 1, 2024

About A collection of AWESOME things about information geometry Topics

154 14 Updated Jul 4, 2024

Implementation of Diffusion Transformer (DiT) in JAX

Python 265 4 Updated Jun 11, 2024

Awesome Mobile LLMs

145 12 Updated Feb 11, 2025

Code for CRATE (Coding RAte reduction TransformEr).

Python 1,207 96 Updated Oct 23, 2024

Stochastic Automatic Differentiation library for PyTorch.

Python 197 5 Updated Aug 30, 2024

PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

Jupyter Notebook 1,656 322 Updated Feb 19, 2025

code of paper "Learning Temporal Point Processes Via Reinforcement Learning ", NeurIPS 2018

Python 9 3 Updated Dec 26, 2020

Implementation of Variational Memory Addressing for generative few-shot learning in PyTorch

Python 9 Updated Mar 20, 2021

A list of papers / videos / tutorials / blog posts on machine learning

Jupyter Notebook 104 27 Updated Dec 28, 2021

The official GitHub page for the survey paper "A Survey of Large Language Models".

Python 11,055 859 Updated Aug 20, 2024

Reading list for research topics in multimodal machine learning

6,272 868 Updated Aug 20, 2024

A collection of learning resources for curious software engineers

Python 47,347 3,753 Updated Feb 15, 2025

Auto get diffusion nlp papers in Axriv. More papers Information can be found in another repository "Diffusion_NLP_Papers".

Python 82 2 Updated Feb 24, 2025

Code for the paper 'Bayesian Program Learning by Decompiling Amortized Knowledge'.

Python 6 2 Updated Jul 19, 2024

🤖 An up-to-date & curated paper list of Neural Network with External Memory

8 Updated May 10, 2022

Must-read Papers on Large Language Model (LLM) Continual Learning

141 13 Updated Nov 14, 2023

Documentation on how to access and use the Quick, Draw! Dataset.

6,278 967 Updated Aug 17, 2023

Collection of the latest, greatest, deep learning optimizers (for Pytorch) - CNN, NLP suitable

Jupyter Notebook 211 41 Updated Apr 4, 2021

A paper list of some recent Transformer-based CV works.

1,196 139 Updated Feb 22, 2025

Companion repo for "Evaluating Verifiability in Generative Search Engines".

Python 83 6 Updated May 12, 2023

The paper list of the 86-page paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.

7,257 428 Updated Jul 28, 2024

This is the official code release for Bayesian Flow Networks.

Python 266 29 Updated Jul 18, 2024
Next
Showing results