Lists (3)
Stars
Experimental library integrating LLM capabilities to support causal analyses
Assignments for CS146S: The Modern Software Dev (Stanford University Fall 2025)
A curated list of resources for using LLMs to develop more competitive grant applications.
AI agent toolkit: coding agent CLI, unified LLM API, TUI & web UI libraries, Slack bot, vLLM pods
A library for creating generic graph data structures and modifying, analyzing, and visualizing them.
Caveman Compression is a semantic compression method for LLM contexts. It removes predictable grammar while preserving the unpredictable, factual content that defines meaning.
A simple Lightning Memory-Mapped Database (LMDB) converter for ImageFolder datasets in PyTorch. Using LMDB over a regular file structure improves I/O performance significantly. Works on both Window…
My best practice of training large dataset using PyTorch.
Code for the Fractured Entangled Representation Hypothesis position paper!
PyTorch code and models for VJEPA2 self-supervised learning from video.
Code for the paper "Language Models are Unsupervised Multitask Learners"
Production grade implementation of the SoftAdapt paper (techniques for adaptive loss balancing of multi-tasking neural networks)
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
Create Epic Math and Physics Animations & Study Notes From Text and Images.
Getting crystal-like representations with harmonic loss
A Comprehensive Benchmark to Evaluate LLMs as Agents (ICLR'24)
Open-source search and retrieval database for AI applications.
Implementation of GLCM Haralick Features in openCV
Memory layers use a trainable key-value lookup mechanism to add extra parameters to a model without increasing FLOPs. Conceptually, sparsely activated memory layers complement compute-heavy dense f…