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Train transformer language models with reinforcement learning.
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
[CVPR 2024 Oral] InternVL Family: A Pioneering Open-Source Alternative to GPT-4o. 接近GPT-4o表现的开源多模态对话模型
GPU programming related news and material links
We write your reusable computer vision tools. 💜
A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
A one-of-a-kind resume builder that keeps your privacy in mind. Completely secure, customizable, portable, open-source and free forever. Try it out today!
Minimalistic large language model 3D-parallelism training
⚡ Dynamically generated stats for your github readmes
Systems design is the process of defining the architecture, modules, interfaces, and data for a system to satisfy specified requirements. Systems design could be seen as the application of systems …
Development repository for the Triton language and compiler
⚡️HivisionIDPhotos: a lightweight and efficient AI ID photos tools. 一个轻量级的AI证件照制作算法。
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
This repo includes ChatGPT prompt curation to use ChatGPT better.
Open-source RAG Framework for building GenAI Second Brains 🧠 Build productivity assistant (RAG) ⚡️🤖 Chat with your docs (PDF, CSV, ...) & apps using Langchain, GPT 3.5 / 4 turbo, Private, Anthropic…
Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.
💯 Curated coding interview preparation materials for busy software engineers
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Python Implementation of Reinforcement Learning: An Introduction
Transformer Explained Visually: Learn How LLM Transformer Models Work with Interactive Visualization
FlatBuffers: Memory Efficient Serialization Library
A Library for Advanced Deep Time Series Models.
😆 国内外互联网技术大牛们都写了哪些书籍：计算机基础、网络、前端、后端、数据库、架构、大数据、深度学习...