liyier90

liyier90

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liyier90's repositories

FairMOT-cpp

An inference-only C++ implementation of FairMOT.

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pytorch-dcnv2

PyTorch Deformable Convolutional Networks v2 (no compile required)

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composer

Train neural networks up to 7x faster

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cpplint

Static code checker for C++

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cython_bbox

standalone cython_bbox borrowed from faster-rcnn

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DCNv2

Deformable Convolutional Networks v2 with Pytorch

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exllamav2

A fast inference library for running LLMs locally on modern consumer-class GPUs

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FairMOT

[IJCV-2021] FairMOT: On the Fairness of Detection and Re-Identification in Multi-Object Tracking

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FastMOT

High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀

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GitHub-Dark

:octocat: Dark GitHub style

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llama.cpp

Port of Facebook's LLaMA model in C/C++

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liyier90.conda

Manage conda environment and packages with Ansible

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llama

Inference code for LLaMA models

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llm-foundry

LLM training code for MosaicML foundation models

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Megatron-LM

Ongoing research training transformer models at scale

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PeekingDuck

A modular framework built to simplify Computer Vision inference workloads.

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pkd-custom-projects

A collection of PeekingDuck projects using custom nodes

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SeaEval

NAACL 2024: SeaEval for Multilingual Foundation Models: From Cross-Lingual Alignment to Cultural Reasoning

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TinyLlama

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

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Towards-Realtime-MOT

Joint Detection and Embedding for fast multi-object tracking

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Towards-Realtime-MOT-Cpp

A C++ codebase implementation of Towards-Realtime-MOT

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Unfit

Data fitting and optimization software

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vscode-yaml

YAML support for VS Code with built-in kubernetes syntax support

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yaml-language-server

Language Server for YAML Files

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yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

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YOLOv6

YOLOv6: a single-stage object detection framework dedicated to industrial applications.

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YOLOX

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

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