Lists (7)
Stars
CUDA tutorials for Maths & ML tutorials with examples, covers multi-gpus, fused attention, winograd convolution, reinforcement learning.
An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.
A Cuda/Thrust implementation of fingerprint similarity searching
Chemical reaction data & benchmarks. Extraction and cleaning of data from Open Reaction Database (ORD)
CReM: chemically reasonable mutations framework
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)
On-Device Training Under 256KB Memory [NeurIPS'22]
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
Simple and efficient pytorch-native transformer text generation in <1000 LOC of python.
TinyChatEngine: On-Device LLM Inference Library
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)
Learning materials for Stanford CS149 : Parallel Computing
Parallel Computing asst 2: Scheduling Task Graphs on a Multi-Core CPU
Learning material for CMU10-714: Deep Learning System
Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks
Pytorch Implementation of Spiking Neural Networks Calibration, ICML 2021
Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks
Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models
Accessible large language models via k-bit quantization for PyTorch.