Open-source library of optimized deep learning operations (matmul, convolution, attention) for CPUs (x64, AArch64, RISC-V) and Intel GPUs. Used by PyTorch, TensorFlow, OpenVINO, and ONNX Runtime.
- onednn
- oneapi
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Open-source library of optimized deep learning operations (matmul, convolution, attention) for CPUs (x64, AArch64, RISC-V) and Intel GPUs. Used by PyTorch, TensorFlow, OpenVINO, and ONNX Runtime.
A curated list of awesome responsible machine learning resources.
A library of reinforcement learning components and agents
Android Developer Roadmap 2020
An implementation of a deep learning recommendation model (DLRM)
State-of-the-art deep learning based audio codec supporting both mono 24 kHz audio and stereo 48 kHz audio.
Learning to Learn in TensorFlow
FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale.
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
Free Python Games
我的一些面试心得;自学CS历程分享;找工作求职经验分享
Full Speed Python: a book for self-learners
Repo for the Deep Learning Nanodegree Foundations program.
Official documentation for getting things done with Nix.
TimeGPT-2.1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.
The official CLI and Python client for the Hugging Face Hub.
Model summary in PyTorch similar to `model.summary()` in Keras
A list of useful resources to learn Data Engineering from scratch
3D ResNets for Action Recognition (CVPR 2018)
人像卡通化探索项目 (photo-to-cartoon translation project)
Superfast AI decision making and intelligent processing of multi-modal data.
Vector (and Scalar) Quantization, in Pytorch
Synapsa Commons: free, hands-on AI courses that run anywhere (Colab, Kaggle, Binder, Codespaces, Jupyter). EU AI Act conformity evidence, model validation, predictive maintenance, document extraction, retrieval and RAG, AI agents and MCP, a simulated humanoid. Every lesson autograded. From the team building Synapsa.
A retargetable MLIR-based machine learning compiler and runtime toolkit.