agoncharenko1992's Stars
TimDettmers/bitsandbytes
Accessible large language models via k-bit quantization for PyTorch.
microsoft/LMOps
General technology for enabling AI capabilities w/ LLMs and MLLMs
rmcelreath/stat_rethinking_2023
Statistical Rethinking Course for Jan-Mar 2023
ermongroup/cs228-notes
Course notes for CS228: Probabilistic Graphical Models.
horseee/Awesome-Efficient-LLM
A curated list for Efficient Large Language Models
NVIDIA/modulus
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
AIoT-MLSys-Lab/Efficient-LLMs-Survey
[TMLR 2024] Efficient Large Language Models: A Survey
hukenovs/dsp-theory
Theory of digital signal processing (DSP): signals, filtration (IIR, FIR, CIC, MAF), transforms (FFT, DFT, Hilbert, Z-transform) etc.
Chen-Cai-OSU/awesome-equivariant-network
Paper list for equivariant neural network
openvinotoolkit/nncf
Neural Network Compression Framework for enhanced OpenVINO™ inference
OML-Team/open-metric-learning
Metric learning and retrieval pipelines, models and zoo.
SinclairCoder/Instruction-Tuning-Papers
Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).
f-dangel/backpack
BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.
neelsjain/NEFTune
Official repository of NEFTune: Noisy Embeddings Improves Instruction Finetuning
Ld-Hagen/fix-opera-linux-ffmpeg-widevine
This script fixes Opera for Linux, allowing it play videos including DRM-protected ones.
lucidrains/speculative-decoding
Explorations into some recent techniques surrounding speculative decoding
iamalexkorotin/NeuralOptimalTransport
PyTorch implementation of "Neural Optimal Transport" (ICLR 2023 Spotlight)
MIPSfpga/schoolMIPS
CPU microarchitecture, step by step
moskomule/sam.pytorch
A PyTorch implementation of Sharpness-Aware Minimization for Efficiently Improving Generalization
ayulockin/neurips-llm-efficiency-challenge
Starter pack for NeurIPS LLM Efficiency Challenge 2023.
snakers4/russian_stt_text_normalization
Russian text normalization pipeline for speech-to-text and other applications based on tagging s2s networks
SamsungLabs/DINAR
Inference code for "DINAR: Diffusion Inpainting of Neural Textures for One-Shot Human Avatars"
Den4ikAI/ruaccent
Простой расстановщик ударений с обработкой омографов
kwignb/NeuralTangentKernel-Papers
Neural Tangent Kernel Papers
BITMAPdds/NeuralFRG
SLDGroup/survey-zero-shot-nas
Ageliss/For_shared_codes
ENOT-AutoDL/gpt-j-6B-tensorrt-int8
GPT-J 6B inference on TensorRT with INT-8 precision
ENOT-AutoDL/ENOT-transformers
zixeljupo/OpenNAS
Open-source NAS