lsy105's Stars
karpathy/LLM101n
LLM101n: Let's build a Storyteller
karpathy/llm.c
LLM training in simple, raw C/CUDA
microsoft/LoRA
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
bitsandbytes-foundation/bitsandbytes
Accessible large language models via k-bit quantization for PyTorch.
pytorch-labs/gpt-fast
Simple and efficient pytorch-native transformer text generation in <1000 LOC of python.
AutoGPTQ/AutoGPTQ
An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.
karpathy/ng-video-lecture
microsoft/AI-System
System for AI Education Resource.
divelab/DIG
A library for graph deep learning research
molecularsets/moses
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models
mit-han-lab/TinyChatEngine
TinyChatEngine: On-Device LLM Inference Library
MegEngine/InferLLM
a lightweight LLM model inference framework
ehoogeboom/e3_diffusion_for_molecules
mit-han-lab/tiny-training
On-Device Training Under 256KB Memory [NeurIPS'22]
PKUFlyingPig/CMU10-714
Learning material for CMU10-714: Deep Learning System
chao1224/MoleculeSTM
Multi-modal Molecule Structure-text Model for Text-based Editing and Retrieval, Nat Mach Intell 2023 (https://www.nature.com/articles/s42256-023-00759-6)
DrrDom/crem
CReM: chemically reasonable mutations framework
HMUNACHI/cuda-repo
From zero to hero CUDA for accelerating maths and machine learning on GPU.
PKUFlyingPig/CS149-parallel-computing
Learning materials for Stanford CS149 : Parallel Computing
schrodinger/gpusimilarity
A Cuda/Thrust implementation of fingerprint similarity searching
nitin-rathi/hybrid-snn-conversion
Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation
fangwei123456/Parametric-Leaky-Integrate-and-Fire-Spiking-Neuron
Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks
yhhhli/SNN_Calibration
Pytorch Implementation of Spiking Neural Networks Calibration, ICML 2021
sustainable-processes/ORDerly
Chemical reaction data & benchmarks. Extraction and cleaning of data from Open Reaction Database (ORD)
ankan-ban/llama_cu_awq
llama INT4 cuda inference with AWQ
Jackn0/snn_optimal_conversion_pipeline
Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks
Fraunhofer-SCAI/llamol
Offical repository for the paper "Llamol: a dynamic multi-conditional generative transformer for de novo molecular design" (https://doi.org/10.1186/s13321-024-00863-8)
GetUpEarlier/minit
077Jungle/CS149-asst2
Parallel Computing asst 2: Scheduling Task Graphs on a Multi-Core CPU
sudheerachary/IPSC
Introduction to parallel scientific computing