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Zhou Yu (yuzhou03)

yuzhou03

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transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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llama

Inference code for LLaMA models

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fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

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darknet

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

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loguru

Python logging made (stupidly) simple

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kaldi

kaldi-asr/kaldi is the official location of the Kaldi project.

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dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

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TensorRT

NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.

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llama-recipes

Scripts for fine-tuning Llama2 with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization & question answering. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment.Demo apps to showcase Llama2 for WhatsApp & Messenger

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gcn

Implementation of Graph Convolutional Networks in TensorFlow

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lora

Using Low-rank adaptation to quickly fine-tune diffusion models.

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cocoapi

COCO API - Dataset @ http://cocodataset.org/

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DeepSpeedExamples

Example models using DeepSpeed

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Baichuan-7B

A large-scale 7B pretraining language model developed by BaiChuan-Inc.

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Informer2020

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

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pygcn

Graph Convolutional Networks in PyTorch

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tacotron2

Tacotron 2 - PyTorch implementation with faster-than-realtime inference

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FlagAI

FlagAI (Fast LArge-scale General AI models) is a fast, easy-to-use and extensible toolkit for large-scale model.

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dlrm

An implementation of a deep learning recommendation model (DLRM)

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esm

Evolutionary Scale Modeling (esm): Pretrained language models for proteins

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pytorch-GAT

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

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iree

A retargetable MLIR-based machine learning compiler and runtime toolkit.

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fvcore

Collection of common code that's shared among different research projects in FAIR computer vision team.

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hifi-gan

HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis

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torchrec

Pytorch domain library for recommendation systems

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CompGCN

ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks

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FlagAttention

A collection of memory efficient attention operators implemented in the Triton language.

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SimKGC

ACL 2022, SimKGC: Simple Contrastive Knowledge Graph Completion with Pre-trained Language Models

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moflow

MoFlow: an invertible flow model for generating molecular graphs

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hyperparameter

Hyperparameter, Make configurable AI applications.Build for Python hackers.

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