JiangZongKang
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DSPy: The framework for programming—not prompting—language models
OmniThink: Expanding Knowledge Boundaries in Machine Writing through Thinking
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Agent Framework / shim to use Pydantic with LLMs
本项目为 chatgpt-on-wechat下游分支, 额外对接了LLMOps平台 Dify，同时支持gewechat，相比itchat更加稳定。
DEIM: DETR with Improved Matching for Fast Convergence
A pytorch quantization backend for optimum
基于Dify自主创建的AI应用DSL工作流，你可以免费获取，无论是出于个人需求还是学习目的，它都能为您开启一段充满无限可能的智能之旅。
A highly optimized LLM inference acceleration engine for Llama and its variants.
An Easy-to-use, Scalable and High-performance RLHF Framework (70B+ PPO Full Tuning & Iterative DPO & LoRA & RingAttention & RFT)
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
Awesome-LLM: a curated list of Large Language Model
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
Awesome Knowledge Distillation
This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!
[IEEE T-PAMI 2024] All you need for End-to-end Autonomous Driving
Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。
解决Cursor在免费订阅期间出现以下提示的问题: You've reached your trial request limit. / Too many free trial accounts used on this machine. Please upgrade to pro. We have this limit in place to prevent abuse. Please l…
[CVPR 2020] GAN Compression: Efficient Architectures for Interactive Conditional GANs
Online Multi-Granularity Distillation for GAN Compression (ICCV2021)
📰 Must-read papers on KV Cache Compression (constantly updating 🤗).
Recipes to train reward model for RLHF.
TEN Agent is a conversational AI powered by the TEN, integrating Gemini 2.0 Live, OpenAI Realtime, RTC, and more. It delivers real-time capabilities to see, hear, and speak, while being fully compa…
Examples and guides for using the Gemini API
深度学习系统笔记，包含深度学习数学基础知识、神经网络基础部件详解、深度学习炼丹策略、模型压缩算法详解。
PyTorch native quantization and sparsity for training and inference
