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Evan's Projects

tinyllama icon tinyllama

The TinyLlama project is an open endeavor to pretrain a 1.1B Llama model on 3 trillion tokens.

tnt icon tnt

A lightweight library for PyTorch training tools and utilities

torch2trt icon torch2trt

An easy to use PyTorch to TensorRT converter

tortoise-tts icon tortoise-tts

A multi-voice TTS system trained with an emphasis on quality

track-anything icon track-anything

Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything and XMem.

transformer-explainability icon transformer-explainability

[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

triangula icon triangula

Generate high-quality triangulated and polygonal art from images.

trlx icon trlx

A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)

tts icon tts

πŸΈπŸ’¬ - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

tuning_playbook icon tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

uer-py icon uer-py

Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo

unarxive icon unarxive

A data set based on all arXiv publications, pre-processed for NLP, including structured full-text and citation network

uniad icon uniad

[CVPR 2023 Best Paper] Planning-oriented Autonomous Driving

unilm icon unilm

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

upscayl icon upscayl

πŸ†™ Upscayl - Free and Open Source AI Image Upscaler for Linux, MacOS and Windows built with Linux-First philosophy.

vary-toy icon vary-toy

Official code implementation of Vary-toy (Small Language Model Meets with Reinforced Vision Vocabulary)

vidar icon vidar

Visual Point Cloud Forecasting

video-llava icon video-llava

Video-LLaVA: Learning United Visual Representation by Alignment Before Projection

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