Build a modern LLM from scratch. Every line commented. Explained like we are five.
- attention-mechanism
- deep-learning
- educational
- from-scratch
Repository Index
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A collection of guides and examples for the Gemma open models from Google.
- codegemma
- gemma
- paligemma
- recurrentgemma
A modern Anki custom scheduling based on Free Spaced Repetition Scheduler algorithm
- anki-addon
- spaced-repetition-algorithm
- anki
- deep-learning
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Qwen3-omni is a natively end-to-end, omni-modal LLM developed by the Qwen team at Alibaba Cloud, capable of understanding text, audio, images, and video, as well as generating speech in real time.
手把手带你实战 Huggingface Transformers 课程视频同步更新在B站与YouTube
- huggingface
- peft
- transformers
Single Shot MultiBox Detector in TensorFlow
Qwen2.5-Omni is an end-to-end multimodal model by Qwen team at Alibaba Cloud, capable of understanding text, audio, vision, video, and performing real-time speech generation.
Repo for the Deep Learning Nanodegree Foundations program.
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 🚀.
- time-series
- time-series-forecasting
- deep-learning
- forecasting
SoTA LLM for converting natural language questions to SQL queries
A simplified implemention of Faster R-CNN that replicate performance from origin paper
- pytorch
- object-detection
- faster-rcnn
- voc
[CVPR 2024] 4D Gaussian Splatting for Real-Time Dynamic Scene Rendering
- 3d
- computer-vision
- dynamic-scene
- gaussian-splatting
Text recognition (optical character recognition) with deep learning methods, ICCV 2019
- iccv2019
- ocr
- ocr-recognition
- text-recognition
This is a Phi Family of SLMs book for getting started with Phi Models. Phi a family of open sourced AI models developed by Microsoft. Phi models are the most capable and cost-effective small language models (SLMs) available, outperforming models of the same size and next size up across a variety of language, reasoning, coding, and math benchmarks
- phi3
- phi3-testing
- phi3-vision
- phi4
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
- deep-reinforcement-learning
- qlearning
- deep-learning
- tensorflow-tutorials
[CCS'24] A dataset consists of 15,140 ChatGPT prompts from Reddit, Discord, websites, and open-source datasets (including 1,405 jailbreak prompts).
Notes about courses Dive into Deep Learning by Mu Li
PyTorch入门教程，在线阅读地址：https://datawhalechina.github.io/thorough-pytorch/
- deep-learning
- machine-learning
- python
- pytorch
This is Andrew NG Coursera Handwritten Notes.
- andrewng
- andrew-ng
- andrew-ng-course
- andrew-ng-machine-learning
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的认可
- deep-learning
- python3
- dive-into-deep-learning
- tensorflow2
Jupyter notebooks from the scikit-learn video series
Grounded SAM 2: Ground and Track Anything in Videos with Grounding DINO, Florence-2 and SAM 2
GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.
- estimation
- perception
- robotics
- sensorfusion