devxia

devxia's Stars

• Developer-Y/cs-video-courses

  List of Computer Science courses with video lectures.

  66.6k1.9k1399.1k

• microsoft/generative-ai-for-beginners

  18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

  Language:Jupyter Notebook62.2k53211831.8k

• labmlai/annotated_deep_learning_paper_implementations

  🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

  Language:Python54.3k4481325.6k

• rasbt/LLMs-from-scratch

  Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

  Language:Jupyter Notebook27.9k302883.2k

• kaixindelele/ChatPaper

  Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复

  Language:Python18.3k942171.9k

• Dao-AILab/flash-attention

  Fast and memory-efficient exact attention

  Language:Python13.6k1151k1.2k

• cleanlab/cleanlab

  The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

  Language:Python9.4k89365729

• datawhalechina/self-llm

  《开源大模型食用指南》基于Linux环境快速部署开源大模型，更适合**宝宝的部署教程

  Language:Jupyter Notebook8.2k63149978

• lyhue1991/eat_pytorch_in_20_days

  Pytorch🍊🍉 is delicious, just eat it! 😋😋

  Language:Jupyter Notebook5.1k61281.1k

• Lordog/dive-into-llms

  《动手学大模型Dive into LLMs》系列编程实践教程

  3.4k229293

• aqlaboratory/openfold

  Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2

  Language:Python2.7k46347518

• BingyanStudio/LapisCV

  📃 开箱即用的 Markdown 简历，支持 VSCode / Obsidian / Typora

  Language:CSS2.7k3413149

• adapter-hub/adapters

  A Unified Library for Parameter-Efficient and Modular Transfer Learning

  Language:Jupyter Notebook2.5k31381339

• zyds/transformers-code

  手把手带你实战 Huggingface Transformers 课程视频同步更新在B站与YouTube

  Language:Jupyter Notebook1.9k1711271

• deepmodeling/deepmd-kit

  A deep learning package for many-body potential energy representation and molecular dynamics

  Language:C++1.5k47775504

• jaywcjlove/DevHub

  A feature-rich offline application, is meticulously crafted to support developers in their daily tasks while ensuring the utmost security of their data

  Language:Swift1.4k81453

• datawhalechina/llms-from-scratch-cn

  仅需Python基础，从0构建大语言模型；从0逐步构建GLM4\Llama3\RWKV6， 深入理解大模型原理

  Language:Jupyter Notebook1.2k176171

• kyegomez/AlphaFold3

  Implementation of Alpha Fold 3 from the paper: "Accurate structure prediction of biomolecular interactions with AlphaFold3" in PyTorch

  Language:Python69425692

• yhangf/ML-NOTE

  :orange_book:慢慢整理所学的机器学习算法，并根据自己所理解的样子叙述出来。(注重数学推导)

  659351139

• OpenRL-Lab/Wandb_Tutorial

  How to use wandb?

  Language:Python5873149

• nanoporetech/dorado

  Oxford Nanopore's Basecaller

  Language:C++491321k59

• nanoporetech/medaka

  Sequence correction provided by ONT Research

  Language:Python4094649874

• yufree/sciguide

  现代科研指北

  Language:R2048538

• xubuvd/LLMs

  专注于中文领域大语言模型，落地到某个行业某个领域，成为一个行业大模型、公司级别或行业级别领域大模型。

  Language:Python1052314

• nanoporetech/rerio

  Research release basecalling models and configurations

  Language:Python10233649

• rapidfuzz/python-Levenshtein

  The Levenshtein Python C extension module contains functions for fast computation of Levenshtein distance and string similarity

  91495

• ReneeYe/ConST

  code for paper "Cross-modal Contrastive Learning for Speech Translation" (NAACL 2022)

  Language:Python61276

• Academic-Hammer/HammerLLM

  1.4B sLLM for Chinese and English - HammerLLM🔨

  Language:Python43425

• Computer-Aided-Drug-Design/CADD-tutorial

  CADD（计算机辅助药物设计）学习资料

  331011

• yarongef/DistilProtBert

  DistilProtBert implementation, a distilled version of ProtBert model.

  Language:Jupyter Notebook1510