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anintroductiontostatisticallearning

Exercises for <An Introduction to Statistical Learning>

awesomereg

convnet-benchmarks

Easy benchmarking of all publicly accessible implementations of convnets

cordova

cuda-by-example-source-code-for-the-book-s-examples-

CUDA by Example, written by two senior members of the CUDA software platform team, shows programmers how to employ this new technology. The authors introduce each area of CUDA development through working examples.

cuda_by_example_practice

horovod

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

inference-benchmark

libxsmm

Library for specialized dense and sparse matrix operations, and deep learning primitives.

linkgame

A link game using cocos2d-html5 game engine.

llm_finetuning

Convenient wrapper for fine-tuning and inference of Large Language Models (LLMs) with several quantization techniques (GTPQ, bitsandbytes)

moli

Java version of the Javascript test framework Jasmine.

mynotes

Some notes and cheat sheets

neurips_llm_competition

Repo for submission

ooc

openbilibili

pfnn-tvm

python-vtune-profile

A Python wrapper for Intel Vtune ITT API.

pytorch

An open source deep learning platform that provides a seamless path from research prototyping to production deployment

pytorch-cheetsheet

Cheetsheet for PyTorch source code

pytorch-profiling-tool

regexp

tensorflow

An Open Source Machine Learning Framework for Everyone

tinyscanner

Scanner for "Tiny" programming language

tvm

Open deep learning compiler stack for cpu, gpu and specialized accelerators

tvm-rfcs

A home for the final text of all TVM RFCs.

vgg_case

winograd_transform_note

xcc

A K&R C Compiler Implementation.

xdk2cordova