hgs3896's Stars
kamranahmedse/developer-roadmap
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
avelino/awesome-go
A curated list of awesome Go frameworks, libraries and software
microsoft/ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
twitter/the-algorithm
Source code for Twitter's Recommendation Algorithm
XingangPan/DragGAN
Official Code for DragGAN (SIGGRAPH 2023)
microsoft/AI-For-Beginners
12 Weeks, 24 Lessons, AI for All!
microsoft/calculator
Windows Calculator: A simple yet powerful calculator that ships with Windows
vllm-project/vllm
A high-throughput and memory-efficient inference and serving engine for LLMs
meta-llama/llama3
The official Meta Llama 3 GitHub site
Stability-AI/generative-models
Generative Models by Stability AI
karpathy/llm.c
LLM training in simple, raw C/CUDA
hpcaitech/Open-Sora
Open-Sora: Democratizing Efficient Video Production for All
microsoft/onnxruntime
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
triton-lang/triton
Development repository for the Triton language and compiler
karpathy/nn-zero-to-hero
Neural Networks: Zero to Hero
DLR-RM/stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
NVIDIA/TensorRT-LLM
TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.
google/gemma_pytorch
The official PyTorch implementation of Google's Gemma models
adap/flower
Flower: A Friendly Federated Learning Framework
mckinsey/vizro
Vizro is a toolkit for creating modular data visualization applications.
facebookresearch/Pearl
A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.
quic/aimet
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
kaist-cp/cs431
AmberLJC/LLMSys-PaperList
Large Language Model (LLM) Systems Paper List
neunms/Reinforcement-learning-on-graphs-A-survey
This collection of papers can be used to summarize research about graph reinforcement learning for the convenience of researchers.
kylemin/S3D
Release of the pretrained S3D Network in PyTorch (ECCV 2018)
HM4725/The-Art-of-Multiprocessor-Programming
THE ART of MULTIPROCESSOR PROGRAMMING, Maurice Herlihy & Nir Shavit
HM4725/edu-database-basic
데이터베이스설계/입문 수업 레포입니다.
pch6828/DB_Lecture_Summary
Lecture summary after taking CMU DB Lecture(by Youtube)
suzybaek/Project012
이런게 나의 영화 인생캐일리가