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[ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning
📖 This is a repository for organizing papers, codes, and other resources related to Latent Reasoning.
Paper list for Efficient Reasoning.
[TMLR 2025] Efficient Reasoning Models: A Survey
VeOmni: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo
Windows Precision Touchpad Driver Implementation for Apple MacBook / Magic Trackpad
Fast and memory-efficient exact attention
Code for the paper "The Impact of Positional Encoding on Length Generalization in Transformers", NeurIPS 2023
A curated list of papers related to constrained decoding of LLM, along with their relevant code and resources.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
Paper list for equivariant neural network
Unifying machine learning and quantum chemistry with a deep neural network for molecular wavefunctions
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Retrosynthesis reaction prediction using Transformer sequence to sequence models and SMILES based data augmentation
🦁 Lion, new optimizer discovered by Google Brain using genetic algorithms that is purportedly better than Adam(w), in Pytorch
Contains results and data from Augmented Transformer article
Home of the PaRoutes framework for benchmarking multi-step retrosynthesis predictions.
translate scientific papers in latex, especially arxiv papers
Running large language models on a single GPU for throughput-oriented scenarios.
Kaggle | 9th place (part of) solution for the Bristol-Myers Squibb – Molecular Translation challenge
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
Text mining of chemical reactions
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Python Code For 'Clustering By Fast Search And Find Of Density Peaks' In Science 2014.
Clustering by fast search and find of density peaks
An implementation of the Fermionic Neural Network for ab-initio electronic structure calculations