SydCS

SydCS's Stars

• csquires/6.S091-causality

  Language:Python17620

• TingsongYu/PyTorch-Tutorial-2nd

  《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。

  Language:Jupyter Notebook2.7k292

• datawhalechina/statistical-learning-method-solutions-manual

  统计学习方法习题解答，在线阅读地址：https://datawhalechina.github.io/statistical-learning-method-solutions-manual

  Language:Jupyter Notebook1.8k229

• mantasu/cs231n

  Shortest solutions for CS231n 2021-2024

  Language:Jupyter Notebook26661

• ysyisyourbrother/SYSU_Notebook

  本项目分享了中山大学计算机学院本科和研究生阶段的课程资料、笔记、期末考试卷和其他实用的相关资源。希望对同学们的学习有所帮助❤️，如果喜欢记得给个star🌟

  Language:Python1.6k251

• datawhalechina/key-book

  《机器学习理论导引》（宝箱书）的证明、案例、概念补充与参考文献讲解。

  Language:Jupyter Notebook1.6k186

• weijie-chen/Linear-Algebra-With-Python

  Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistance of Python computation and visualization.

  Language:Jupyter Notebook2.3k572

• xuzhiqin1990/understanding_dl

  A lecture note for understanding deep learning

  Language:Jupyter Notebook21723

• Lordog/dive-into-llms

  《动手学大模型Dive into LLMs》系列编程实践教程

  3.8k330

• xinychen/tensor-book

  张量计算系列教程 (Tensor Computations Tutorials)

  1049

• pengsida/learning_research

  本人的科研经验

  6k357

• OrangeX4/NJUAI-Notes

  我在南京大学人工智能专业学习时所做的笔记 :-)

  Language:Terra58465

• YuRuiii/2023-NJUAI-open-day-review

  A brief review of 2023 NJUAI open day test & interview

  865

• fireball0213/NJUAI20

  Course projects and notes of undergraduate courses in NJUAI

  Language:Python38

• roboticcam/machine-learning-notes

  My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

  Language:Jupyter Notebook8.4k1.7k

• vwxyzjn/cleanrl

  High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

  Language:Python5.8k659

• doocs/leetcode

  🔥LeetCode solutions in any programming language | 多种编程语言实现 LeetCode、《剑指 Offer（第 2 版）》、《程序员面试金典（第 6 版）》题解

  Language:Java32k7.6k

• duanzhiihao/lossy-vae

  Authors' PyTorch implementation of lossy image compression methods based on hierarchical VAEs

  Language:Jupyter Notebook618

• aamini/introtodeeplearning

  Lab Materials for MIT 6.S191: Introduction to Deep Learning

  Language:Jupyter Notebook7.3k3.7k

• baaivision/Painter

  Painter & SegGPT Series: Vision Foundation Models from BAAI

  Language:Python2.5k176

• jaymody/picoGPT

  An unnecessarily tiny implementation of GPT-2 in NumPy.

  Language:Python3.3k418

• jingyi0000/VLM_survey

  Collection of AWESOME vision-language models for vision tasks

  2.6k221

• valeoai/FOUND

  PyTorch code for Unsupervised Object Localization: Observing the Background to Discover Objects

  Language:Python6810

• matheusfacure/python-causality-handbook

  Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

  Language:Jupyter Notebook2.8k483

• huggingface/deep-rl-class

  This repo contains the syllabus of the Hugging Face Deep Reinforcement Learning Course.

  Language:MDX3.9k603

• mli/paper-reading

  深度学习经典、新论文逐段精读

  27.3k2.5k

• yunjey/pytorch-tutorial

  PyTorch Tutorial for Deep Learning Researchers

  Language:Python30.4k8.1k

• facebookresearch/dinov2

  PyTorch code and models for the DINOv2 self-supervised learning method.

  Language:Jupyter Notebook9.3k833

• ssloy/tinyrenderer

  A brief computer graphics / rendering course

  Language:C++20.8k2k

• walkccc/CLRS

  📚 Solutions to Introduction to Algorithms Third Edition

  Language:Markdown4.8k1.3k