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Chris Poulin's Projects

deepseek-coder-v2 icon deepseek-coder-v2

DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence

drl icon drl

Deep Reinforcement Learning Agent

fabric icon fabric

fabric is an open-source framework for augmenting humans using AI. It provides a modular framework for solving specific problems using a crowdsourced set of AI prompts that can be used anywhere.

maestro icon maestro

A framework for Claude Opus to intelligently orchestrate subagents.

math icon math

The MATH Dataset (NeurIPS 2021)

neural-plexer-pytorch icon neural-plexer-pytorch

Implementation of Nvidia's NeuralPlexer, for end-to-end differentiable design of functional small-molecules and ligand-binding proteins, in Pytorch

openrlhf icon openrlhf

An Easy-to-use, Scalable and High-performance RLHF Framework (Support 70B+ full tuning & LoRA & Mixtral & KTO)

pingora icon pingora

A library for building fast, reliable and evolvable network services.

prm800k icon prm800k

800,000 step-level correctness labels on LLM solutions to MATH problems

reclor icon reclor

Code for "ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning" (ICLR 2020)

redpajama-data icon redpajama-data

The RedPajama-Data repository contains code for preparing large datasets for training large language models.

reverb icon reverb

Reverb is an efficient and easy-to-use data storage and transport system designed for machine learning research

scienceqa icon scienceqa

Data and code for NeurIPS 2022 Paper "Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering".

sliders icon sliders

Concept Sliders for Precise Control of Diffusion Models

stability-sdk icon stability-sdk

SDK for interacting with stability.ai APIs (e.g. stable diffusion inference)

stableswarmui icon stableswarmui

StableSwarmUI, A Modular Stable Diffusion Web-User-Interface, with an emphasis on making powertools easily accessible, high performance, and extensibility.

theoremqa icon theoremqa

The dataset and code for paper: TheoremQA: A Theorem-driven Question Answering dataset

tiny-gpu icon tiny-gpu

A minimal GPU design in Verilog to learn how GPUs work from the ground up

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