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hxer7963's Projects

autogptq icon autogptq

An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.

designpattern icon designpattern

C++11全套设计模式-23种指针的用法(a full DesignPattern implement with c++11)

facialexpressionrecognition icon facialexpressionrecognition

Contrast multiple facial expression recognition experiments and found that using SVM instead of softmax layer can achieve better classification results(65.47% accuracy on fer2013 dataset).

homemade-machine-learning icon homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

lit-llama icon lit-llama

Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.

matrixslow icon matrixslow

A simple deep learning framework in pure python for purpose of learning in DL

oh-my-tkkc icon oh-my-tkkc

A automatic crawler program for online course which is pointless and fool-style operation. So there is a complete automation crawler program to help the Uganda children.

openblas icon openblas

OpenBLAS is an optimized BLAS library based on GotoBLAS2 1.13 BSD version.

parallel-hashmap icon parallel-hashmap

A family of header-only, very fast and memory-friendly hashmap and btree containers.

patternrecognitioncourse icon patternrecognitioncourse

some materials about pattern recognition course in Nanjing university, such as lecture notes, Homework.

ps-lite icon ps-lite

A lightweight parameter server interface

pytorch-pruning icon pytorch-pruning

PyTorch Implementation of [1611.06440] Pruning Convolutional Neural Networks for Resource Efficient Inference

resume icon resume

An elegant \LaTeX\ résumé template

scalene icon scalene

Scalene: a high-performance, high-precision CPU and memory profiler for Python

tensorflow icon tensorflow

An Open Source Machine Learning Framework for Everyone

vllm icon vllm

A high-throughput and memory-efficient inference and serving engine for LLMs

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