handwritten-multi-digit-number-recognition
torchdyn
| handwritten-multi-digit-number-recognition | torchdyn | |
|---|---|---|
| 1 | 1 | |
| 21 | 1,277 | |
| - | 1.8% | |
| 0.0 | 5.2 | |
| over 2 years ago | about 1 month ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
handwritten-multi-digit-number-recognition
-
I made a handwritten number recognizer
Github repo: https://github.com/kingyiusuen/handwritten-multi-digit-number-recognition
torchdyn
What are some alternatives?
yolov3-tf2 - YoloV3 Implemented in Tensorflow 2.0
torchsde - Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
handwritten-digits-recognizer-webapp - This is my first experience with machine learning
NeuralCDE - Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)
neuralforecast - Scalable and user friendly neural :brain: forecasting algorithms.
monodepth2 - [ICCV 2019] Monocular depth estimation from a single image
apartment_recommender_streamlit_app - Streamlit App that recommends apartments in Seattle using the Airbnb kaggle dataset: https://www.kaggle.com/code/rdaldian/airbnb-content-based-recommendation-system/data?select=listings.csv
deep-learning-v2-pytorch - Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Handwritten-Optical-Character-Recognition - Responsive web app that can recognize handwritten characters drawn on canvas and perform arithmetic calculation.
hyperlearn - 2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
NeMo - A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
BigDL - Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, Baichuan, Mixtral, Gemma, etc.) on Intel CPU and GPU (e.g., local PC with iGPU, discrete GPU such as Arc, Flex and Max). A PyTorch LLM library that seamlessly integrates with llama.cpp, Ollama, HuggingFace, LangChain, LlamaIndex, DeepSpeed, vLLM, FastChat, etc.