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thomaskalnik's Projects

anthropic-cookbook icon anthropic-cookbook

A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.

autofaiss icon autofaiss

Automatically create Faiss knn indices with the most optimal similarity search parameters.

cogvlm icon cogvlm

a state-of-the-art-level open visual language model | 多模态预训练模型

devika icon devika

Devika is an Agentic AI Software Engineer that can understand high-level human instructions, break them down into steps, research relevant information, and write code to achieve the given objective. Devika aims to be a competitive open-source alternative to Devin by Cognition AI.

dsg icon dsg

Davidsonian Scene Graph (DSG) for Text-to-Image Evaluation (ICLR 2024)

eq-bench icon eq-bench

A benchmark for emotional intelligence in large language models

galore icon galore

GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection

laserrmt icon laserrmt

This is our own implementation of 'Layer Selective Rank Reduction'

lavi-bridge icon lavi-bridge

Bridging Different Language Models and Generative Vision Models for Text-to-Image Generation

lavis icon lavis

LAVIS - A One-stop Library for Language-Vision Intelligence

llm-course icon llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

long-clip icon long-clip

Scripts for use with LongCLIP, including fine-tuning Long-CLIP

medusa icon medusa

Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads

mplug icon mplug

mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections. (EMNLP 2022)

omost icon omost

Your image is almost there!

pippy icon pippy

Pipeline Parallelism for PyTorch

pixart-sigma icon pixart-sigma

PixArt-Σ: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation

semantic-router icon semantic-router

Superfast AI decision making and intelligent processing of multi-modal data.

stylegan-t icon stylegan-t

[ICML'23] StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis

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