haozeng-naoc's Stars
hkproj/pytorch-stable-diffusion
Stable Diffusion implemented from scratch in PyTorch
cuda-mode/lectures
Material for cuda-mode lectures
karpathy/llm.c
LLM training in simple, raw C/CUDA
eriklindernoren/ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
jbmouret/matplotlib_for_papers
Handout for the tutorial "Creating publication-quality figures with matplotlib"
sergeyvoronin/LowRankMatrixDecompositionCodes
RSVDPACK: Implementations of fast algorithms for computing the low rank SVD, interpolative and CUR decompositions of a matrix, using randomized sampling. Includes codes for single core (using GNU GSL), multi-core (using Intel MKL) and GPU (using NVIDIA CUDA/CULA) architectures.
VikParuchuri/marker
Convert PDF to markdown quickly with high accuracy
wandb/wandb
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
hughperkins/VeriGPU
OpenSource GPU, in Verilog, loosely based on RISC-V ISA
BeWaterMyFriend7/Marp-Theme-UCAS
markdown Slide made by marp
binhu02/Collection-of-advice-for-PhD-application
带中文导读的PhD申请攻略收集
BerriAI/litellm
Python SDK, Proxy Server to call 100+ LLM APIs using the OpenAI format - [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, Replicate, Groq]
opencsapp/opencsapp.github.io
Open CS Application | 开源CS申请
yihong0618/bilingual_book_maker
Make bilingual epub books Using AI translate
tatsu-lab/stanford_alpaca
Code and documentation to train Stanford's Alpaca models, and generate the data.
datawhalechina/so-large-lm
大模型基础: 一文了解大模型基础知识
RUCAIBox/LLMSurvey
The official GitHub page for the survey paper "A Survey of Large Language Models".
thuml/iTransformer
Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah
labmlai/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, ... 🧠
matthew-li/lbnl_hpl_doc
Documentation for High-Performance LINPACK testing for Lawrence Berkeley National Laboratory.
semaphoreP/codeastro
Course Material for the Code/Astro Workshop
NVIDIA/cuda-samples
Samples for CUDA Developers which demonstrates features in CUDA Toolkit
adam-maj/tiny-gpu
A minimal GPU design in Verilog to learn how GPUs work from the ground up
angelsolaorbaiceta/fe-fwk-book
Learn how frontend frameworks work by building your own. Code for the book "Build a frontend framework from scratch", published by Manning.
collabnix/kubelabs
Get Started with Kubernetes
ajhalthor/Transformer-Neural-Network
Code Transformer neural network components piece by piece
Keldos-Li/typora-latex-theme
将Typora伪装成LaTeX的中文样式主题,本科生轻量级课程论文撰写的好帮手。This is a theme disguising Typora into Chinese LaTeX style.
foxsen/archbase
教科书《计算机体系结构基础》(胡伟武等,第三版)的开源版本
Autostronomy/AstroPhot
A fast, flexible, automated, and differentiable astronomical image 2D forward modelling tool for precise parallel multi-wavelength photometry
Tony-Tan/CUDA_Freshman