Sunt-ing/SUSTech-CS-Notes
一名南科大CS本科生的课程笔记、考点预测和论文，包含CS和非CS的内容 :rocket::rocket:
Repositories
Sunt-ing/latex2sympy2_extended
Parse LaTeX math expressions
Sunt-ing/DeepGEMM
DeepGEMM: clean and efficient BLAS kernel library on GPU
Sunt-ing/Sunt-ing
Sunt-ing/Sunt-ing.github.io
Ting Sun — personal homepage
Sunt-ing/Math-Verify
Sunt-ing/sympy
A computer algebra system written in pure Python
Sunt-ing/codex-wake
Keep working while jobs run. Wake your Codex session with results, without model-side polling.
Sunt-ing/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Sunt-ing/database-system-readings
:yum: A curated reading list about database systems
Sunt-ing/stick
:innocent: A PyTorch-like deep learning framework. Just for fun.
Sunt-ing/Megatron-LM
Ongoing research training transformer models at scale
Sunt-ing/github-issue-pr-triage
Sunt-ing/TensorRT-LLM
TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way.
Sunt-ing/diffusers
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
Sunt-ing/flash-linear-attention
🚀 Efficient implementations for emerging model architectures
Sunt-ing/transformers
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Sunt-ing/tokenspeed
TokenSpeed is a speed-of-light LLM inference engine.
Sunt-ing/sglang
SGLang is a high-performance serving framework for large language models and multimodal models.
Sunt-ing/vllm
A high-throughput and memory-efficient inference and serving engine for LLMs
Sunt-ing/vllm-gguf-plugin
vLLM Quantization plugin for GGUF
Sunt-ing/lakestream-code
Sunt-ing/PilotExecution
[NSDI26] Pilot Execution: Simulating Failure Recovery In Situ for Production Distributed Systems
Sunt-ing/HyGen
Sunt-ing/l0
A scalable, end-to-end training pipeline for general-purpose agents
Sunt-ing/llama.cpp
LLM inference in C/C++
Sunt-ing/LLM-Merging-1
LLM-Merging: Building LLMs Efficiently through Merging
Sunt-ing/SHIELD
SHIELD: Evaluation and Defense Strategies for Copyright Compliance in LLM Text Generation
Sunt-ing/Awesome-LLM-Watermark
UP-TO-DATE LLM Watermark paper. 🔥🔥🔥
Sunt-ing/AIDB
ai4db and db4ai work