Stars
Models and examples built with TensorFlow
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Open Source Neural Machine Translation and (Large) Language Models in PyTorch
Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
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.
🎯An accuracy-first, highly efficient quantization toolkit for LLMs, designed to minimize quality degradation across Weight-Only Quantization, MXFP4, NVFP4, GGUF, and adaptive schemes.
An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana
A Genetic Algorithm Framework in Python (not for production level)
Intel® NPU Acceleration Library
A set of useful tools for competitive data science.
Anomaly detection implemented in Keras
🎯 Personal data science and machine learning toolbox
Transform ONNX model to PyTorch representation
Example code for neural-network-based anomaly detection of time-series data (uses LSTM)
A Keras-based library for analysis of time series data using deep learning algorithms.
parser script to process pytorch autograd profiler result, convert json file to excel.
Easy manage tools to conctrol AWS EC2 Spot Fleet.