cadentj

cadentj's Stars

• abi/screenshot-to-code

  Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)

  Language:Python56.4k3272966.9k

• SimplifyJobs/Summer2025-Internships

  Collection of Summer 2025 tech internships!

  34.2k1.5k2.4k2.7k

• xenova/transformers.js

  State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!

  Language:JavaScript11.1k76610681

• facebookresearch/Pearl

  A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.

  Language:Jupyter Notebook2.6k3357156

• ekzhu/datasketch

  MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble and HNSW

  Language:Python2.5k48164293

• tangrams/tangram

  WebGL map rendering engine for creative cartography

  Language:JavaScript2.2k98376290

• TransformerLensOrg/TransformerLens

  A library for mechanistic interpretability of GPT-style language models

  Language:Python1.4k17243280

• facebookresearch/llm-transparency-tool

  LLM Transparency Tool (LLM-TT), an open-source interactive toolkit for analyzing internal workings of Transformer-based language models. *Check out demo at* https://huggingface.co/spaces/facebook/llm-transparency-tool-demo

  Language:Python738541252

• rampasek/GraphGPS

  Recipe for a General, Powerful, Scalable Graph Transformer

  Language:Python6471234116

• thuml/depyf

  depyf is a tool to help you understand and adapt to PyTorch compiler torch.compile.

  Language:Python45182512

• jbloomAus/SAELens

  Training Sparse Autoencoders on Language Models

  Language:Jupyter Notebook383892106

• ndif-team/nnsight

  The nnsight package enables interpreting and manipulating the internals of deep learned models.

  Language:Jupyter Notebook36747435

• callummcdougall/ARENA_3.0

  Language:HTML279718172

• TransformerLensOrg/CircuitsVis

  Mechanistic Interpretability Visualizations using React

  Language:Jupyter Notebook18222628

• yongqyu/MolGAN-pytorch

  Pytroch implementation of MolGAN: An implicit generative model for small molecular graphs (https://arxiv.org/abs/1805.11973)

  Language:Python16271442

• saprmarks/dictionary_learning

  Language:Python1165531

• sierra-research/tau-bench

  Code and Data for Tau-Bench

  Language:Python958112

• saprmarks/feature-circuits

  Language:Python844516

• jbloomAus/DecisionTransformerInterpretability

  Interpreting how transformers simulate agents performing RL tasks

  Language:Jupyter Notebook6347315

• EleutherAI/sae-auto-interp

  Language:Python582147

• EleutherAI/elk-generalization

  Investigating the generalization behavior of LM probes trained to predict truth labels: (1) from one annotator to another, and (2) from easy questions to hard

  Language:Python24214

• Aaquib111/edge-attribution-patching

  Code for my NeurIPS 2024 ATTRIB paper titled "Attribution Patching Outperforms Automated Circuit Discovery"

  Language:Jupyter Notebook22217

• EdwardBerman/shopt

  [Astronomical Journal 2024] Efficient PSF Modeling with ShOpt.jl: A PSF Benchmarking Study with JWST NIRCam Imaging

  Language:Julia222112

• ndif-team/ndif

  The NDIF server, which performs deep inference and serves nnsight requests remotely

  Language:Python105246

• canrager/clas

  Circuit-Level Activation Steering

  Language:Python31

• Felhof/connectome

  Language:Jupyter Notebook3201

• hijohnnylin/automated-interpretability

  Language:Python33

• noahshinn/llm-chat

  Language:Go3100

• ndif-team/nnsight-website

  The nnsight website, which explains and documents the open-source nnsight API

  Language:HTML2200

• cadentj/nngine

  Language:Python1100