sablin39's Stars
huihut/interview
📚 C/C++ 技术面试基础知识总结,包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, including language, program library, data structure, algorithm, system, network, link loading library, interview experience, recruitment, recommendation, etc.
alshedivat/al-folio
A beautiful, simple, clean, and responsive Jekyll theme for academics
apernet/OpenGFW
OpenGFW is a flexible, easy-to-use, open source implementation of GFW (Great Firewall of China) on Linux
thuml/Time-Series-Library
A Library for Advanced Deep Time Series Models.
ashleve/lightning-hydra-template
PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡
jbush001/NyuziProcessor
GPGPU microprocessor architecture
km1994/LLMs_interview_notes
该仓库主要记录 大模型(LLMs) 算法工程师相关的面试题
bpc-clone/bypass-paywalls-firefox-clean
atong01/conditional-flow-matching
TorchCFM: a Conditional Flow Matching library
pytorch/extension-cpp
C++ extensions in PyTorch
LTH14/mar
PyTorch implementation of MAR+DiffLoss https://arxiv.org/abs/2406.11838
mbreuss/diffusion-literature-for-robotics
Summary of key papers and blogs about diffusion models to learn about the topic. Detailed list of all published diffusion robotics papers.
ENSTA-U2IS-AI/awesome-uncertainty-deeplearning
This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.
yyysjz1997/Awesome-TimeSeries-SpatioTemporal-Diffusion-Model
A survey and paper list of current Diffusion Model for Time Series and SpatioTemporal Data with awesome resources (paper, application, review, survey, etc.).
VinAIResearch/WaveDiff
Official Pytorch Implementation of the paper: Wavelet Diffusion Models are fast and scalable Image Generators (CVPR'23)
ermongroup/CSDI
Codes for "CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation"
JoaoLages/diffusers-interpret
Diffusers-Interpret 🤗🧨🕵️♀️: Model explainability for 🤗 Diffusers. Get explanations for your generated images.
lucidrains/autoregressive-diffusion-pytorch
Implementation of Autoregressive Diffusion in Pytorch
jlko/semantic_uncertainty
Codebase for reproducing the experiments of the semantic uncertainty paper (short-phrase and sentence-length experiments).
ermongroup/GraphScoreMatching
Official implementation for the paper: Permutation Invariant Graph Generation via Score-Based Generative Modeling
SaberaTalukder/TOTEM
The official code 👩💻 for - TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis
aoki-h-jp/py-liquidation-map
Visualize Liquidation Map from actual execution data.
stillwater-sc/RISC-V-TensorCore
Transactional Verilog design and Verilator Testbench for a RISC-V TensorCore Vector co-processor for reproducible linear algebra
arpytanshu/ts-tok
Time Series Tokenizer inspired by Symbolic Aggregate approXimation (SAX) for seamlessly training LLMs with time-series data.
patrickrchao/DiffusionBasedCausalModels
silverwhere/Extended-Kalman-Filter
Utilized an Extended Kalman Filter and Sensor Fusion to estimate the state of a moving object of interest with noisy lidar and radar measurements. The project involved utilzing lidar data (Point Cloud) for position and radar data (Doppler) for radial velocity.
HySonLab/Multires-Graph-Transformer
Multiresolution Graph Transformers and Wavelet Positional Encoding for Learning Long-Range and Hierarchical Structures
phet1999/DiffLoad
sablin39/hyper-compression
Implementation of "hyper-compression" as a PyTorch CUDA extension.
Versemongerr/Kalman_PID_Cartpole
Cartpole with PID and Kalman Filter