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Python - 100天从新手到大师
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
《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
面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
llama3 implementation one matrix multiplication at a time
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
本项目是一个面向小白开发者的大模型应用开发教程，在线阅读地址：https://datawhalechina.github.io/llm-universe/
Best Practices, code samples, and documentation for Computer Vision.
《动手学大模型Dive into LLMs》系列编程实践教程
MiniCPM4 & MiniCPM4.1: Ultra-Efficient LLMs on End Devices, achieving 3+ generation speedup on reasoning tasks
YOLOv6: a single-stage object detection framework dedicated to industrial applications.
Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.
The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.
Repo for the Deep Reinforcement Learning Nanodegree program
Democratizing Reinforcement Learning for LLMs
CoTracker is a model for tracking any point (pixel) on a video.
Align Anything: Training All-modality Model with Feedback
《Pytorch实用教程》（第二版）无论是零基础入门，还是CV、NLP、LLM项目应用，或是进阶工程化部署落地，在这里都有。相信在本书的帮助下，读者将能够轻松掌握 PyTorch 的使用，成为一名优秀的深度学习工程师。
Homepage for STAT 157 at UC Berkeley
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
中文nlp解决方案(大模型、数据、模型、训练、推理)