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ConST

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

Language:PythonMIT5700

LLMs

专注于中文大语言模型，落地到行业，成为一个行业大模型，公司级别或行业级别，关键是领域效果达到可落地条件。

8300

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

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LLMs-from-scratch

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

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DistilProtBert

DistilProtBert implementation, a distilled version of ProtBert model.

Language:Jupyter NotebookMIT1500

flash-attention

Fast and memory-efficient exact attention

Language:PythonBSD-3-Clause1253900

AlphaFold3

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

Language:PythonMIT63300

dive-into-llms

《动手学大模型Dive into LLMs》系列编程实践教程

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

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generative-ai-for-beginners

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

Language:Jupyter NotebookMIT5721800

transformers-code

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

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HammerLLM

1.4B sLLM for Chinese and English - HammerLLM🔨

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cs-video-courses

List of Computer Science courses with video lectures.

openfold

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

Language:PythonApache-2.0264100

python-Levenshtein

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

GPL-2.08800

sciguide

现代科研指北

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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)

MIT65600

deepmd-kit

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

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adapters

A Unified Library for Parameter-Efficient and Modular Transfer Learning

Language:Jupyter NotebookApache-2.0247600

eat_pytorch_in_20_days

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

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DevHub

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

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CADD-tutorial

CADD（计算机辅助药物设计）学习资料

GPL-3.02800

medaka

Sequence correction provided by ONT Research

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dorado

Oxford Nanopore's Basecaller

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rerio

Research release basecalling models and configurations

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LapisCV

📃 开箱即用的 Obsidian / Typora 简历

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Wandb_Tutorial

How to use wandb?

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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

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cleanlab

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

Language:PythonAGPL-3.0915300

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:PythonMIT5209800