xuchichichi's repositories
d2l-zh
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
annotated_deep_learning_paper_implementations
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Pruner-Zero
Evolving Symbolic Pruning Metric from scratch
AIChat
毕设项目
JSQ
[ICML 2024] JSQ: Compressing Large Language Models by Joint Sparsification and Quantization
Awesome-LLM-Inference
📖A curated list of Awesome LLM Inference Paper with codes, TensorRT-LLM, vLLM, streaming-llm, AWQ, SmoothQuant, WINT8/4, Continuous Batching, FlashAttention, PagedAttention etc.
PyHessian
PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks
transformers-code
手把手带你实战 Huggingface Transformers 课程视频同步更新在B站与YouTube
ChatGLM3
ChatGLM3 series: Open Bilingual Chat LLMs | 开源双语对话语言模型
BertWithPretrained
An implementation of the BERT model and its related downstream tasks based on the PyTorch framework
reflex
Interactive programs without callbacks or side-effects. Functional Reactive Programming (FRP) uses composable events and time-varying values to describe interactive systems as pure functions. Just like other pure functional code, functional reactive code is easier to get right on the first try, maintain, and reuse.
leetcode-master
《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀
CS-Base
图解计算机网络、操作系统、计算机组成、数据库，共 1000 张图 + 50 万字，破除晦涩难懂的计算机基础知识，让天下没有难懂的八股文！🚀 在线阅读：https://xiaolincoding.com
HAWQ
Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.
notes
Personal CS notes, record some introductory contents and common sense in CS/SE, mostly C++.
FishTouchingXMUer
部分资料整理
retraining-free-pruning
[NeurIPS 2022] A Fast Post-Training Pruning Framework for Transformers
pytorch-cifar
95.47% on CIFAR10 with PyTorch
codingBook
《关于计算机学习的相关书籍收录》02-Java核心技术面试精讲-极客时间 05-趣谈网络 06-MySQL实战45讲 深入理解Java虚拟机 Java并发编程的艺术 88-高并发系统设计40问 Redis深度历险：核心原理和应用实践 剑指OFFER 图解系统-小林 图解网络-小林 advanced-java 阿里--java开发手册（嵩山版）java核心技术36讲
Eigenfaces
:dancers: A Python implementation of the famous Eigenfaces algorithm for face recognition, implemented and tested over the AT&T face data set.