Stars
A multidimensional atlas of the research lineages composing modern language models.
NLP Zero to Hero in just 10 Kernels
211 free visual cards about large language models, from tokenization to deployment. Full collection: 376 cards.
KV-cache compression for LLMs: reference implementations of TurboAngle and TurboQuant codecs with Triton GPU kernels
Open source implementation and extension of Google Research’s PaperBanana for automated academic figures, diagrams, and research visuals, expanded to new domains like slide generation.
Power BI to Snowflake SQL translator with enhanced M and DAX support
open source interpretability platform đź§
An interactive educational platform for exploring the internal mechanisms of Large Language Models (LLMs), based on interpretability research by Anthropic. Features visualizations and tools for act…
Implementation of AOT+ method from "LLMs Can Plan Only If We Tell Them" research paper which enables LLMs to solve complex planning problems using periodic state memorization and random trajectory …
Implementing ReaRAG, a knowledge-guided reasoning model that enhances factual accuracy using iterative retrieval-augmented generation. Adapting the methodology for modular LLM integration and custo…
Best AI Newsletters - Curated, Up-to-date List of AI Newsletters
Python library to generate semantic model to use in talk to database application to ask questions in natural language and receive direct answers without writing SQL.
Implementation and evaluation of Scaling Embedding Layers in Language Models research paper
Notes and description of the Project Data Science Lab
Implementation of Better Embeddings with Coupled Adam research paper
Implementation of research paper: DarwinLM: Evolutionary Structured Pruning of Large Language Models
Causal inference library for timeseries analysis
DSPy: The framework for programming—not prompting—language models
[NAACL2024] Attacks, Defenses and Evaluations for LLM Conversation Safety: A Survey
This repository contains a list of benchmarks used by big orgs to evaluate their LLMs.
EMNLP'23 survey: a curation of awesome papers and resources on refreshing large language models (LLMs) without expensive retraining.
VIP cheatsheets for Stanford's CS 229 Machine Learning
Image annotation with Python. Supports polygon, rectangle, circle, line, point, and AI-assisted annotation.
A curated list of radar datasets, detection, tracking and fusion
Submission of all the projects of udacity self driving car nano degree
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