girls-in-ai/Girls-In-AI
quality grade D, 41 out of 100免费学代码系列:小白python入门、数据分析data analyst、机器学习machine learning、深度学习deep learning、kaggle实战
- stars
- 3.4k
- stars gained this week
- +2this week
- forks, open issues and contributors
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Core deep-learning frameworks and libraries for pretraining and distributed training.
Signals: deep-learning, neural-network, pytorch, tensorflow, jax, distributed-training, training, deepspeed
2,672 results
免费学代码系列:小白python入门、数据分析data analyst、机器学习machine learning、深度学习deep learning、kaggle实战
Over 200 figures and diagrams of the most popular deep learning architectures and layers FREE TO USE in your blog posts, slides, presentations, or papers.
alfred-py: A deep learning utility library for **human**, more detail about the usage of lib to: https://zhuanlan.zhihu.com/p/341446046
(2020-2022)The PyTorch version of SiamFC,SiamRPN,DaSiamRPN, UpdateNet , SiamDW, SiamRPN++, SiamMask, SiamFC++, SiamCAR, SiamBAN, Ocean, LightTrack , TrTr, NanoTrack; Visual object tracking based on deep learning
A deep learning-powered visual navigation engine to enables autonomous navigation of pocket-size quadrotor - running on PULP
DeepRec is a high-performance recommendation deep learning framework based on TensorFlow. It is hosted in incubation in LF AI & Data Foundation.
A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.
A modular, open and non-proprietary toolkit for core robotic functionalities by harnessing deep learning
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
Awesome papers about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs).
High frequency trading (HFT) framework built for futures using machine learning and deep learning techniques
A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)
DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow
An end-to-end library for editing and rendering motion of 3D characters with deep learning [SIGGRAPH 2020]
All Stanford Cheatsheets: Artificial Intelligence, Transformers, LLMs, Deep Learning, Machine Learning, Probabilities, Statistics, Algebra and Calculus.
SIGKDD'2019: DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks
Master the fundamentals of machine learning, deep learning, and mathematical optimization by building key concepts and models from scratch using Python.
MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.
Colab Notebooks covering deep learning tools for biomolecular structure prediction and design
Summary of deep learning models for dialog systems (Tiancheng Zhao LTI, CMU)
[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning; [NeurIPS 2022] MCUNetV3: On-Device Training Under 256KB Memory
A project template to simplify building and training deep learning models using Keras.
OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research
Chainer Chemistry: A Library for Deep Learning in Biology and Chemistry
24,540 repositories in the index in total.