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Article extraction benchmark: dataset and evaluation scripts
C++ & OpenMPI & OpenMP toy framework for Neural Nets (a la Micrograd)
Repository for the paper "SciDef: Automating Definition Extraction from Academic Literature with Large Language Models"
Layer-wise Relevance Propagation for Large Language Models and Vision Transformers [ICML 2024]
PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks
[ICLR 2025 & COLM 2025] Official PyTorch implementation of the Forgetting Transformer and Adaptive Computation Pruning
Bringing BERT into modernity via both architecture changes and scaling
Mapping out the "memory" of neural nets with data attribution
Reproducing images with geometric primitives.
Sampling with gradient-based Markov Chain Monte Carlo approaches
This repository contains download scripts for downloading the CZE-NEC dataset.
Unsloth is a local UI for training and running Gemma 4, Qwen3.6, DeepSeek, Kimi, GLM and other models.
PyTorch implementation of bayesian neural network [torchbnn]
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
You like pytorch? You like micrograd? You love tinygrad! ❤️
Final Project of the MLOps Zoomcamp hosted by DataTalksClub.
Multi-LoRA inference server that scales to 1000s of fine-tuned LLMs
High-Performance Symbolic Regression in Python and Julia
An environment simulation for networks security tasks for development and testing AI based agents. Part of AI Dojo project
Slips, a free software behavioral Python intrusion prevention system (IDS/IPS) that uses machine learning to detect malicious behaviors in the network traffic. Stratosphere Laboratory, AIC, FEL, CV…
A PyTorch Library for Multi-Task Learning
ChatRWKV is like ChatGPT but powered by RWKV (100% RNN) language model, and open source.
Daytona is a Secure and Elastic Infrastructure for Running AI-Generated Code