francescortu's Stars
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Textualize/rich
Rich is a Python library for rich text and beautiful formatting in the terminal.
streamlit/streamlit
Streamlit — A faster way to build and share data apps.
gpakosz/.tmux
🇫🇷 Oh my tmux! My self-contained, pretty & versatile tmux configuration made with ❤️
karpathy/llama2.c
Inference Llama 2 in one file of pure C
py-why/EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
awesome-mlss/awesome-mlss
🤖 Machine Learning Summer School deadlines
facebookresearch/chameleon
Repository for Meta Chameleon, a mixed-modal early-fusion foundation model from FAIR.
explosion/curated-transformers
🤖 A PyTorch library of curated Transformer models and their composable components
stanfordnlp/pyvene
Stanford NLP Python Library for Understanding and Improving PyTorch Models via Interventions
RUCAIBox/LLMBox
A comprehensive library for implementing LLMs, including a unified training pipeline and comprehensive model evaluation.
aaaastark/Data-Scientist-Books
Data-Scientist-Books (Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Long Short Term Memory, Generative Adversarial Network, Time Series Forecasting, Probability and Statistics, and more.)
likenneth/honest_llama
Inference-Time Intervention: Eliciting Truthful Answers from a Language Model
pratikratadiya/awesome-ml-internships
List of companies offering Machine learning and Data Science internships
jbloomAus/SAELens
Training Sparse Autoencoders on Language Models
ndif-team/nnsight
The nnsight package enables interpreting and manipulating the internals of deep learned models.
EleutherAI/sae
Sparse autoencoders
ruizheliUOA/Awesome-Interpretability-in-Large-Language-Models
This repository collects all relevant resources about interpretability in LLMs
callummcdougall/ARENA_2.0
Resources for skilling up in AI alignment research engineering. Covers basics of deep learning, mechanistic interpretability, and RL.
ai-safety-foundation/sparse_autoencoder
Sparse Autoencoder for Mechanistic Interpretability
ArthurConmy/Automatic-Circuit-Discovery
HoagyC/sparse_coding
Using sparse coding to find distributed representations used by neural networks.
soniajoseph/ViT-Prisma
ViT Prisma is a mechanistic interpretability library for Vision Transformers (ViTs).
ericwtodd/function_vectors
Function Vectors in Large Language Models (ICLR 2024)
KihoPark/linear_rep_geometry
allenai/unified-io-2.pytorch
andrewjong/AI-Opportunities-in-Academia
A list of AI opportunities in academia for undergraduate and graduate students. Internships, scholarships, and fellowships.
francescortu/comp-mech
Competition of Mechanisms: Tracing How Language Models Handle Facts and Counterfactuals
timothygebhard/doi2bibtex
doi2bibtex: Resolve DOIs and arXiv identifiers to formatted BibTeX entries
AlejoAcelas/Mech-Interp-Challenges
Starting Kit for the CodaBench competition on Transformer Interpretability