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Awesome Machine Learning links catalog repository.

Useful references

1:

2 (from q-viper):

Other:

LSTM's

Text-classification / Text-generation

Various frameworks

NDArray

Pytorch

ML C++ with Python on DB

Bloomberg C++ repository board

Microsoft book examples:

Source for AI-For-Beginners

NBoW from scratch:

CBoW

NN from scratch

Image processing

Audio signal processing

LSTM's 18-n collection (from topic LSTM)

NLP

MVE 3D-Reconstruction (ComputerVision)

Education (VinitSR7)

TensorRT C++ framework with environments

viix's Projects

foml icon foml

Foundations of Machine Learning

hands-on-llms icon hands-on-llms

đŸĻ– 𝗟𝗲𝗮đ—ŋđ—ģ about 𝗟𝗟𝗠𝘀, 𝗟𝗟𝗠đ—ĸđ—Ŋ𝘀, and 𝘃𝗲𝗰𝘁đ—ŧđ—ŋ 𝗗𝗕𝘀 for free by designing, training, and deploying a real-time financial advisor LLM system ~ 𝘴𝘰đ˜ļđ˜ŗ𝘤đ˜Ļ 𝘤𝘰đ˜Ĩđ˜Ļ + 𝘷đ˜Ēđ˜Ĩđ˜Ļ𝘰 & đ˜ŗđ˜Ļđ˜ĸđ˜Ĩđ˜Ēđ˜¯đ˜¨ 𝘮đ˜ĸđ˜ĩđ˜Ļđ˜ŗđ˜Ēđ˜ĸ𝘭𝘴

image-combiner icon image-combiner

Autoencoder neural network built for combining images by encoding two separate images together and decoding the result.

k-means icon k-means

Implementation of K-Means from scratch

koan icon koan

A word2vec negative sampling implementation with correct CBOW update.

libdynd icon libdynd

C++ dynamic ndarray library, with Python exposure

libjpeg icon libjpeg

Independent JPEG Group's JPEG software

libpng icon libpng

LIBPNG: Portable Network Graphics support, official libpng repository

lihang_book_algorithm icon lihang_book_algorithm

č‡´åŠ›äēŽå°†æŽčˆĒ博åŖĢ《įģŸčŽĄå­Ļäš æ–šæŗ•ã€‹ä¸€äšĻ中所有įŽ—æŗ•åŽžįŽ°ä¸€é

llm-course icon llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

lstm-numpy icon lstm-numpy

A numpy implementation of an LSTM learning the lyrics of songs from Eminem.

lstm-numpy-cifg icon lstm-numpy-cifg

The implementation of the LSTM network from scratch using Numpy in Python, and the training of a simple word level language model

lstm-rnn-in-numpy icon lstm-rnn-in-numpy

Implementation of long-short term memory recurrent neural network using only numpy

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