Maschinelles Lernen · GitHub

End-to-end Chinese scene-text detection and recognition with CTPN, CRNN, and CTC (legacy project).

SLICES: An Invertible, Invariant, and String-based Crystal Representation [2023, Nature Communications] MatterGPT, SLICES-PLUS

The deeplearning algorithms implemented by tensorflow

沿用了此项目：https://github.com/YuJunZhiXue/dsh-purge 专注于deepseek harness破甲|逆向|渗透| 适配最新版deepseek harness ：deepseek v4.1 flash 最新版 更新q群562341656

PyTorch深度学习快速入门教程（绝对通俗易懂！）

Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)

A VisualBasic(.NET) language kernel and runtime for scientific data computing, deep learning, LLM inference, GPU acceleration, visualization and command-line data-science applications — running on .NET (net10.0) across Windows, Linux and macOS.

• Extended VisualBasic syntax — Value(Of T) inline assignment, List(Of T) with a + append operator and rich indexers, LINQ helpers (Sequence, Iterates, which, sentinel) and Unix-shell style helpers (UnixBash.ls, cat).
• Command-line application framework — attribute-driven (<ExportAPI>, <Usage>) CLIs, automatic help generation, and InteropService to host external command-line tools.

Dataflow compiler for QNN inference on FPGAs

A native-PyTorch library for large scale M-LLM (text/audio) training with tp/cp/dp.

Hervorragende Arbeiten zur Schätzung und Verfolgung von Handposen

Saubere, robuste und einheitliche PyTorch-Implementierung beliebter Algorithmen für Deep Reinforcement Learning (DRL) (Q-Learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)

Winning Solution in NTIRE19 Challenges on Video Restoration and Enhancement (CVPR19 Workshops) - Video Restoration with Enhanced Deformable Convolutional Networks. EDVR has been merged into BasicSR and this repo is a mirror of BasicSR.

• Nov 29, 2020. Add ESRGAN and DFDNet colab demo.
• Sep 8, 2020. Add blind face restoration inference codes: DFDNet.

Real-ESRGAN zielt auf die Entwicklung praktischer Algorithmen für die allgemeine Bild- und Videowiederherstellung ab.

(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"

Drawing Bayesian networks, graphical models, tensors, technical frameworks, and illustrations in LaTeX.

Machine learning for transportation data imputation and prediction.

TensorFlow 最新官方文档中文版

an Open Course Platform for Stanford CS224n (2020 Winter)

Tensors, for human consumption