Kotyga's Stars
facebookresearch/chai
CHAI is a library for dynamic pruning of attention heads for efficient LLM inference.
koddo/shad-prep
Repo for https://t.me/shad_prep
mkrechetov/GabrielGraphs
Fast and Pure Python generation of Gabriel Graphs
yandex-datasphere/advanced_rag
Примеры продвинутого RAG
a-milenkin/Competitive_Data_Science
Материалы по курсу анализу данных
rahulvigneswaran/Lottery-Ticket-Hypothesis-in-Pytorch
This repository contains a Pytorch implementation of the paper "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks" by Jonathan Frankle and Michael Carbin that can be easily adapted to any model/dataset.
evriitt/style_transfer_bot
DLS fall23
borolya/tg_ml_bot
mvgugaev/Python-Algorithm-Stepik
A set of solutions to problems from the course "Algorithms: Theory and Practice. Methods" from Stepik.org
pstpn/pstpn
Config files for my GitHub profile.
satansdeer/ultimate-react-hook-form-form
Most complex and feature complete form using react-hook form
meta-llama/llama
Inference code for Llama models
StanislavPetrovV/Raycasting-3d-game-tutorial
for youtube Raycasting tutorial
hse-ds/iad-applied-ds
torrua/keyboa
Keyboa is a project designed to simplify Telegram keyboards creation.
src-d/awesome-machine-learning-on-source-code
Cool links & research papers related to Machine Learning applied to source code (MLonCode)
youssefHosni/Data-Science-Interview-Questions-Answers
Curated list of data science interview questions and answers
kyamagu/faiss-wheels
Unofficial faiss wheel builder
NirantK/NLP_Quickbook
NLP in Python with Deep Learning
tinkoff-ai/CORL
High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC, SPOT, Cal-QL, ReBRAC
facebookresearch/faiss
A library for efficient similarity search and clustering of dense vectors.
olegoratovskiy/leetcode-frequently-asked-questions
LeetCode frequently asked questions
jessevig/bertviz
BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
Yorko/mlcourse.ai
Open Machine Learning Course
YKatser/Industrial-ML
An overview of cases, public datasets, books and academic papers related to applying ML in industrial applications
oxford-cs-deepnlp-2017/lectures
Oxford Deep NLP 2017 course
alexey-goloburdin/nvim-config
joelgrus/data-science-from-scratch
code for Data Science From Scratch book