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[TMLR] A curated list of language modeling researches for code (and other software engineering activities), plus related datasets.
"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…
A list of papers and resources dedicated to code generation
A curated list of papers related to program synthesis, program induction, program execution, program and code repair, and programmatic reinforcement learning.
👨💻 An awesome and curated list of best code-LLM for research.
This repository collects all relevant resources about interpretability in LLMs
About A collection of AWESOME things about information geometry Topics
Implementation of Diffusion Transformer (DiT) in JAX
Code for CRATE (Coding RAte reduction TransformEr).
Stochastic Automatic Differentiation library for PyTorch.
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.
code of paper "Learning Temporal Point Processes Via Reinforcement Learning ", NeurIPS 2018
Implementation of Variational Memory Addressing for generative few-shot learning in PyTorch
A list of papers / videos / tutorials / blog posts on machine learning
The official GitHub page for the survey paper "A Survey of Large Language Models".
Reading list for research topics in multimodal machine learning
A collection of learning resources for curious software engineers
Auto get diffusion nlp papers in Axriv. More papers Information can be found in another repository "Diffusion_NLP_Papers".
Code for the paper 'Bayesian Program Learning by Decompiling Amortized Knowledge'.
🤖 An up-to-date & curated paper list of Neural Network with External Memory
Must-read Papers on Large Language Model (LLM) Continual Learning
Documentation on how to access and use the Quick, Draw! Dataset.
Collection of the latest, greatest, deep learning optimizers (for Pytorch) - CNN, NLP suitable
A paper list of some recent Transformer-based CV works.
Companion repo for "Evaluating Verifiability in Generative Search Engines".
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.
This is the official code release for Bayesian Flow Networks.