Lists (6)
Stars
The design language that makes your AI harness better at design.
A lightweight reproduction of DeepSeek-R1-Zero with indepth analysis of self-reflection behavior.
Minimal reproduction of DeepSeek R1-Zero
Practical Cheminformatics Tutorials
ai_in_chemistry_workshop
A Collection on Large Language Models for Optimization
Geom3D: Geometric Modeling on 3D Structures, NeurIPS 2023
Continual Learning papers list, curated by ContinualAI
JAX implementation of RL algorithms and vectorized environments
Papers about explainability of GNNs
Implementations of robust Dual Curriculum Design (DCD) algorithms for unsupervised environment design.
🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL
Long short-term memory Spiking Neural Networks
Official repository for the paper "Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting" (TPAMI'22) https://arxiv.org/abs/2006.09252
Platform for designing and evaluating Graph Neural Networks (GNN)
Code and dataset to test empirically the expressive power of graph pooling operators presented as presented at NeurIPS 2023
A collection of papers studying/improving the expressiveness of graph neural networks (GNNs)
Modularized Implementation of Deep RL Algorithms in PyTorch
A Jax/Stax implementation of the general meta learning paper: Oh, J., Hessel, M., Czarnecki, W.M., Xu, Z., van Hasselt, H.P., Singh, S. and Silver, D., 2020. Discovering reinforcement learning algo…
Code for Discovered Policy Optimisation (NeurIPS 2022)
The code for experiments conducted to verify the correctness of mirror learning.
Pytorch implementation of set transformer
Autoregressive transformer in JAX from scratch
A playbook for systematically maximizing the performance of deep learning models.
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
ManimML is a project focused on providing animations and visualizations of common machine learning concepts with the Manim Community Library.