Sherrylife

Sherrylife's Stars

• ggerganov/llama.cpp

  LLM inference in C/C++

  Language:C++69.9k5584.2k10.1k

• scutan90/DeepLearning-500-questions

  深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

  Language:JavaScript55.1k2.2k18915.9k

• karpathy/llm.c

  LLM training in simple, raw C/CUDA

  Language:Cuda24.9k2521412.8k

• NLP-LOVE/ML-NLP

  此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

  Language:Jupyter Notebook16.2k384404.6k

• naklecha/llama3-from-scratch

  llama3 implementation one matrix multiplication at a time

  Language:Jupyter Notebook13.9k98181.1k

• liguodongiot/llm-action

  本项目旨在分享大模型相关技术原理以及实战经验（大模型工程化、大模型应用落地）

  Language:HTML12.2k101231.3k

• chenzomi12/AISystem

  AISystem 主要是指AI系统，包括AI芯片、AI编译器、AI推理和训练框架等AI全栈底层技术

  Language:Jupyter Notebook11.7k153401.7k

• karpathy/micrograd

  A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

  Language:Jupyter Notebook10.8k151311.6k

• datawhalechina/self-llm

  《开源大模型食用指南》针对**宝宝量身打造的基于Linux环境快速微调（全参数/Lora）、部署国内外开源大模型（LLM）/多模态大模型（MLLM）教程

  Language:Jupyter Notebook10.5k731891.2k

• karpathy/minbpe

  Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.

  Language:Python9.3k8538874

• adam-maj/tiny-gpu

  A minimal GPU design in Verilog to learn how GPUs work from the ground up

  Language:SystemVerilog7.2k6924547

• HIPS/autograd

  Efficiently computes derivatives of NumPy code.

  Language:Python7.1k212407915

• harvardnlp/annotated-transformer

  An annotated implementation of the Transformer paper.

  Language:Jupyter Notebook5.8k65911.3k

• XPoet/picx

  🏞️ PicX 是一款基于 GitHub API 开发的图床工具，提供图片上传托管、生成图片链接和常用图片工具箱服务。

  Language:TypeScript4.7k30214492

• spro/practical-pytorch

  Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained

  Language:Jupyter Notebook4.5k1471281.1k

• jcjohnson/torch-rnn

  Efficient, reusable RNNs and LSTMs for torch

  Language:Lua2.5k87188507

• nicodjimenez/lstm

  Minimal, clean example of lstm neural network training in python, for learning purposes.

  Language:Python1.8k7032653

• hzwer/WritingAIPaper

  Writing AI Conference Papers: A Handbook for Beginners

  1.6k5258

• McGill-NLP/llm2vec

  Code for 'LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders'

  Language:Python1.4k23130106

• wangyuGithub01/Machine_Learning_Resources

  :fish::fish::fish: 机器学习面试复习资源

  1.1k110175

• vaseline555/Federated-Learning-in-PyTorch

  Handy PyTorch implementation of Federated Learning (for your painless research)

  Language:Python41831990

• DeepLearningDTU/02456-deep-learning-with-PyTorch

  Exercises and supplementary material for the deep learning course 02456 using PyTorch.

  Language:Jupyter Notebook326277455

• lmnt-com/haste

  Haste: a fast, simple, and open RNN library

  Language:C++326134627

• PKUFlyingPig/CMU10-714

  Learning material for CMU10-714: Deep Learning System

  Language:Jupyter Notebook2244534

• spro/char-rnn.pytorch

  PyTorch implementation of char-rnn (character-level language model)

  Language:Python2016690

• siboehm/ShallowSpeed

  Small scale distributed training of sequential deep learning models, built on Numpy and MPI.

  Language:Python110304

• YuanchengFang/dlsys_solution

  Homework solutions for CMU 10-414/714 – Deep Learning Systems: Algorithms and Implementation

  Language:Python42214

• Sherrylife/FedLMT

  [ICML2024] "FedLMT: Tackling System Heterogeneity of Federated Learning via Low-Rank Model Training with Theoretical Guarantees" by Jiahao Liu, Yipeng Zhou, Di Wu, Miao Hu, Mohsen Guizani and Quan Z. Sheng

  Language:Python7101

• ysh329/cv-template

  LaTeX resume template

  7302

• BaoLocPham/RNN_GRU_LSTM_from_scratch_pytorch

  RNN, GRU, LSTM from scratch with pytorch

  Language:Python120