yurakuratov

yurakuratov's Stars

• nomic-ai/gpt4all

  GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.

  Language:C++71.5k6472k7.8k

• lm-sys/FastChat

  An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

  Language:Python37.4k3511.8k4.6k

• ibraheemdev/modern-unix

  A collection of modern/faster/saner alternatives to common unix commands.

  31.3k39581788

• google-research/tuning_playbook

  A playbook for systematically maximizing the performance of deep learning models.

  27.7k291432.3k

• benfred/py-spy

  Sampling profiler for Python programs

  Language:Rust13.1k110375439

• muesli/duf

  Disk Usage/Free Utility - a better 'df' alternative

  Language:Go13k88129408

• microsoft/LoRA

  Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

  Language:Python11k70108698

• facebookresearch/xformers

  Hackable and optimized Transformers building blocks, supporting a composable construction.

  Language:Python8.9k77580634

• arogozhnikov/einops

  Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

  Language:Python8.6k69186356

• NVIDIA/FasterTransformer

  Transformer related optimization, including BERT, GPT

  Language:C++6k63625896

• mosaicml/composer

  Supercharge Your Model Training

  Language:Python5.2k49552429

• Lightning-AI/lit-gpt

  Hackable implementation of state-of-the-art open-source LLMs based on nanoGPT. Supports flash attention, 4-bit and 8-bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.

  Language:Python5.2k63476540

• togethercomputer/RedPajama-Data

  The RedPajama-Data repository contains code for preparing large datasets for training large language models.

  Language:Python4.6k7991348

• pytorch/ignite

  High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

  Language:Python4.6k601.4k621

• HazyResearch/flash-attention

  Fast and memory-efficient exact attention

  Language:Python4.3k71268365

• baaivision/EVA

  EVA Series: Visual Representation Fantasies from BAAI

  Language:Python2.4k30163170

• facebookarchive/MemNN

  Memory Networks implementations

  Language:Lua1.8k13523374

• pytorch/tnt

  A lightweight library for PyTorch training tools and utilities

  Language:Python1.7k4371278

• JonasGeiping/cramming

  Cramming the training of a (BERT-type) language model into limited compute.

  Language:Python1.3k233499

• mryab/efficient-dl-systems

  Efficient Deep Learning Systems course materials (HSE, YSDA)

  Language:Jupyter Notebook710144113

• facebookresearch/contriever

  Contriever: Unsupervised Dense Information Retrieval with Contrastive Learning

  Language:Python703151760

• tanelp/tiny-diffusion

  A minimal PyTorch implementation of probabilistic diffusion models for 2D datasets.

  Language:Jupyter Notebook69010656

• stanford-crfm/BioMedLM

  Language:Python611212764

• ofirpress/attention_with_linear_biases

  Code for the ALiBi method for transformer language models (ICLR 2022)

  Language:Python508121938

• lucidrains/recurrent-memory-transformer-pytorch

  Implementation of Recurrent Memory Transformer, Neurips 2022 paper, in Pytorch

  Language:Python398132015

• google-research/meliad

  Language:Python25210530

• tk-rusch/LEM

  Official code for Long Expressive Memory (ICLR 2022, Spotlight)

  Language:Python692411

• sismetanin/sentiment-analysis-in-russian

  Fine-tuned Multilingual BERT and Multilingual USE for sentiment analysis in Russian. RuReviews, RuSentiment, Kaggle Russian News Dataset, LINIS Crowd, and RuTweetCorp were utilized as training data.

  52455

• mlcommons/training_results_v2.1

  This repository contains the results and code for the MLPerf™ Training v2.1 benchmark.

  Language:C++153919

• AIRI-Institute/al_toolbox

  Active learning

  Language:Python10110