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Python Data Science Handbook: full text in Jupyter Notebooks
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
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。
📡 Simple and ready-to-use tutorials for TensorFlow
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/
COCO API - Dataset @ http:https://cocodataset.org/
Reference models and tools for Cloud TPUs.
利用Python进行数据分析 第二版 (2017) 中文翻译笔记
Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads
The deeplearning algorithms implemented by tensorflow
该资源为作者在CSDN的撰写Python图像处理文章的支撑，主要是Python实现图像处理、图像识别、图像分类等算法代码实现，希望该资源对您有所帮助，一起加油。
Implementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17.
利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码
This repository is intended to host tools and demos for ActivityNet
[NeurIPS 2021] [T-PAMI] DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification
Code for IEEE Communication Magazine (A Survey on Behaviour Recognition Using WiFi Channle State Information)
欢迎来到 "LLM-travel" 仓库！探索大语言模型（LLM）的奥秘 🚀。致力于深入理解、探讨以及实现与大模型相关的各种技术、原理和应用。
Learning material for CMU10-714: Deep Learning System
An End to End GenAI Framework