Stars
Repo for counting stars and contributing. Press F to pay respect to glorious developers.
Models and examples built with TensorFlow
📚 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, in…
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Let your Claude able to think
Natural Language Processing Tutorial for Deep Learning Researchers
Open Source Neural Machine Translation and (Large) Language Models in PyTorch
LightSeq: A High Performance Library for Sequence Processing and Generation
Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.
List of tools & datasets for anomaly detection on time-series data.
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
how to optimize some algorithm in cuda.
A list of awesome compiler projects and papers for tensor computation and deep learning.
SOTA low-bit LLM quantization (INT8/FP8/MXFP8/INT4/MXFP4/NVFP4) & sparsity; leading model compression techniques on PyTorch, TensorFlow, and ONNX Runtime
A Flow-based Generative Network for Speech Synthesis
⚡ Build your chatbot within minutes on your favorite device; offer SOTA compression techniques for LLMs; run LLMs efficiently on Intel Platforms⚡
Top 200 deep learning Github repositories sorted by the number of stars.
Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)
RNN based Time-series Anomaly detector model implemented in Pytorch.
A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.
Representation and Reference Lowering of ONNX Models in MLIR Compiler Infrastructure
Library for specialized dense and sparse matrix operations, and deep learning primitives.
An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana