Pinned Repositories
0-to-1-Microservices-Distributed-E-commerce-System-Template
This is a microservices-based distributed e-commerce system template designed to leverage a wide range of advanced management tools and practices from 0 to 1.
2019Legal-AI-Challenge-Legal-Case-Element-Recognition-solution
Completed this competition in collaboration with Jiang Yan(https://github.com/jy1993) and Guan Shuicheng(https://github.com/guanshuicheng).
2024-ICLR-Norton
Multi-granularity Correspondence Learning from Long-term Noisy Videos [ICLR 2024, Oral]
2025-full-stack-tech-sharing
2025技术分享（FullStack Frontend Focus），分享常用知识点。代码纯手打+AI验证，只做精品！！！
3D-RCNet
3D-RCNet: A 3D Relational Convolutional Network for Hyperspectral Image Classification
3DTrans
An Open-source Codebase for exploring Continuous-learning/Pre-training-oriented Autonomous Driving Task
53AIHub
53AI Hub is an open-source AI portal, which enables you to quickly build a operational-level AI portal to launch and operate AI agents, prompts, and AI tools. It supports seamless integration with development platforms like Coze, Dify, FastGPT, RAGFlow.
A-general-framework-to-Prompt-tuning-LLM-model
crypto_info
全网最全-币圈区块链各类常用工具与相关信息资料大全-虚拟加密货币-交易所-NFT-Defi-加密钱包-比特币-新手入门教程-crypto info -持续更新
iTeach
coder-drinker's Repositories
coder-drinker/android
coder-drinker/AttentionShift
Official Implementation of AttentionShift: Iteratively Estimated Part-based Attention Map for Pointly Supervised Instance Segmentation
coder-drinker/Awesome-SLU-Survey
Tracking the progress in SLU (resources, code, and new frontiers etc.)
coder-drinker/bisheng
Bisheng is an open LLM devops platform for next generation AI applications.
coder-drinker/Chinese-Llama-2
improve Llama-2's proficiency in comprehension, generation, and translation of Chinese.
coder-drinker/clip-score
Quick scripts to calculate CLIP text-image similarity
coder-drinker/CORE
CORE is a plug-and-play conversational agent for any recommender system.
coder-drinker/Darwin
An open-source project dedicated to build foundational large language model for natural science, mainly in physics, chemistry and material science.
coder-drinker/DevOpsGPT
Multi agent system for AI-driven software development. convert natural language requirements into working software.
coder-drinker/Dink-Net
[ICML 2023] An official source code for paper "Dink-Net: Neural Clustering on Large Graphs".
coder-drinker/DistriPerfMonitor
DistriPerfMonitor is a robust and scalable C++ based performance monitoring solution specifically designed for distributed Linux environments. It aims to provide real-time insights and analytics into system performance, resource utilization, and potential bottlenecks across multiple nodes.
coder-drinker/dlight
Dlight.js
coder-drinker/dlrover
DLRover: An Automatic Distributed Deep Learning System
coder-drinker/flexdrive
A flexible extending drive, distributed cloud storage system using gRPC and distributed election algorithm.
coder-drinker/GUNDAM
GUNDAM is a data management system that prioritizes data using language models.
coder-drinker/High-Rank_RGB-Event_Tracker
Code of ICCV 2023 paper Cross-modal Orthogonal High-rank Augmentation for RGB-Event Transformer-trackers
coder-drinker/im
coder-drinker/IP-IRM
[NeurIPS 2021 Spotlight] The PyTorch implementation of paper "Self-Supervised Learning Disentangled Group Representation as Feature"
coder-drinker/LightConnectionPool
A light and general database connection pool tool
coder-drinker/Make-An-Audio
coder-drinker/Medusa
Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads
coder-drinker/mx-design
最好的react ui组件库教程代码 (The code for the best react component library series tutorial)
coder-drinker/open-llama2
从预训练到强化学习的中文llama2
coder-drinker/pandallm
Panda项目是于2023年5月启动的开源海外中文大语言模型项目，致力于大模型时代探索整个技术栈，旨在推动中文自然语言处理领域的创新和合作。
coder-drinker/pystata
coder-drinker/SWIFT-AI
A fast gigapixel processing system
coder-drinker/UltraDet
coder-drinker/Web3-serverless-analytics-on-aws
coder-drinker/wildfire.nvim
wildfire burns treesitter
coder-drinker/YiVal
AI evaluation tool for streamlined and comprehensive comparison of prompts, models, and parameters across various modalities