☆558Apr 29, 2024Updated 2 years ago
Alternatives and similar repositories for Transformer-from-scratch
Users that are interested in Transformer-from-scratch are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- 《Reinforcement Learning》读书学习与视频分享笔记☆81Apr 1, 2025Updated last year
- 训练自己的中文 Embedding 模型☆30Jan 6, 2025Updated last year
- 《Transformer系列视频的手稿整理》☆119Jan 4, 2026Updated 10 months ago
- 《AI Quant Trading - From Zero to One》☆488Aug 8, 2026Updated 3 months ago
- 零实现 AlphaGo Zero☆18Nov 10, 2024Updated 2 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- A production-oriented multi-agent orchestration framework.☆2,329Sep 5, 2026Updated 2 months ago
- ☆85Feb 3, 2025Updated last year
- 《From Concept to Production: Framework-Agnostic AI Agent Architecture Patterns》☆434Aug 8, 2026Updated 3 months ago
- ☆20Apr 7, 2024Updated 2 years ago
- ☆32Dec 6, 2024Updated last year
- 手把手带你实战 Huggingface Transformers 课程视频同步更新在B站与YouTube☆4,103Jul 15, 2024Updated 2 years ago
- stay tuned.☆18Jul 7, 2025Updated last year
- DeepSeek-V4 Lecture☆31Aug 10, 2026Updated 3 months ago
- 复现大模型相关算法及一些学习记录☆3,567Jul 2, 2026Updated 4 months ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- 从无名小卒到大模型(LLM)大英雄~ 欢迎关注后续!!!☆2,330Oct 14, 2026Updated last month
- This project implements the Titans architecture from the paper "Titans: Learning to Memorize at Test Time" for market data prediction.☆10Jan 19, 2025Updated last year
- 通义千问 SFT试验☆85Jan 6, 2024Updated 2 years ago
- llm & rl☆294Oct 24, 2025Updated last year
- 🧠 Train a 64M-parameter LLM from scratch in just 2h!☆65,203Oct 27, 2026Updated 2 weeks ago
- 《大模型白盒子构建指南》:一个全手搓的Tiny-Universe☆5,140Feb 12, 2026Updated 9 months ago
- Implement a ChatGPT-like LLM in PyTorch from scratch, step by step☆108,351Updated this week
- ☆10Feb 18, 2025Updated last year
- Llama3-Tutorial(XTuner、LMDeploy、OpenCompass)☆503May 10, 2024Updated 2 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- llama3 implementation one matrix multiplication at a time☆15,194May 23, 2024Updated 2 years ago
- Code for "Skill-based Chain-of-Thoughts for Domain-Adaptive Video Reasoning [EMNLP 2025 Findings]"☆18Aug 27, 2025Updated last year
- Radix Tree KV Cache with Turn-Aware Growth☆12Jul 21, 2025Updated last year
- 《开源大模型食用指南》针对中国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☆32,769Oct 29, 2026Updated 2 weeks ago
- Lab: Dataset-agnostic equity returns prediction pipeline with time-series cross-validation☆16Feb 17, 2026Updated 8 months ago
- KnowledgeGraphLLM☆11Dec 1, 2023Updated 2 years ago
- 中文nlp解决方案(大模型、数据、模型、训练、推理)☆3,843Aug 5, 2025Updated last year
- Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)☆76,028Updated this week
- ☆13Sep 12, 2024Updated 2 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- A simple implementation of Llama 1, 2. Llama Architecture built from scratch using PyTorch all the models are built from scratch that inc…☆14May 6, 2024Updated 2 years ago
- 中文翻译的 Hands-On-Large-Language-Models (hands-on-llms),动手学习大模型☆3,031Oct 14, 2026Updated last month
- The simplest, fastest repository for training/finetuning medium-sized GPTs.☆64,723Nov 12, 2025Updated last year
- ☆10Sep 4, 2022Updated 4 years ago
- Simple transformer tts☆62Jul 18, 2025Updated last year
- ☆12Jun 28, 2023Updated 3 years ago
- 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)☆25,275Oct 14, 2026Updated last month
Are these results useful?